Course Name: Introduction to Machine Learning

  • About Course
  • Certificate Type
  • Toppers list
  • Registration

Course abstract

With the increased availability of data from varied sources there has been increasing attention paid to the various data driven disciplines such as analytics and machine learning. In this course we intend to introduce some of the basic concepts of machine learning from a mathematically well motivated perspective. We will cover the different learning paradigms and some of the more popular algorithms and architectures used in each of these paradigms.

Course Instructor

Media Object

Prof. Balaraman Ravindran

Teaching assistant(s).

Deepak Maurya

Deepak Maurya

 Course Duration : Jan-Apr 2020

  view course,  syllabus,  enrollment : 18-nov-2019 to 03-feb-2020,  exam registration : 16-dec-2019 to 20-mar-2020,  exam date : 26-apr-2020,   course statistics will be published shortly, certificate eligible, certified category count, successfully completed, participation.

introduction to machine learning nptel assignment answers

Category : Successfully Completed

introduction to machine learning nptel assignment answers

Category : Elite

introduction to machine learning nptel assignment answers

Category : Silver

introduction to machine learning nptel assignment answers

Category : Gold

Final score calculation logic.

  • Assignment Score = Average of best 8 out of 12 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score Note: We have taken best assignment score from Both Jan and July course

PRASHANT BARTAKKE

PRASHANT BARTAKKE 96%

COLLEGE OF ENGINEERING PUNE

AKSHIV SINGHLA

AKSHIV SINGHLA 91%

ANUJA SOMTHANKAR

ANUJA SOMTHANKAR 90%

THAKUR COLLEGE OF ENGINEERING AND TECHNOLOGY

AMAN BAGRECHA

AMAN BAGRECHA 89%

R V COLLEGE OF ENGINEERING

MANYA SINGH

MANYA SINGH 89%

Indian Institute of Technology,Roorkee

AMAN KUMAR

AMAN KUMAR 88%

PANDYA VEDANT MANOHAR

PANDYA VEDANT MANOHAR 86%

NIKHIL KUMAR

NIKHIL KUMAR 85%

NATIONAL INSTITUTE OF TECHNOLOGY PATNA

AAYUSH TOMAR

AAYUSH TOMAR 84%

YARRAMSETTI PAVAN SAI KONDALA RAO

YARRAMSETTI PAVAN SAI KONDALA RAO 84%

RAJIV GANDHI UNIVERSITY OF KNOWLEDGE TECHNOLOGIES

ANURAG TIWARI

ANURAG TIWARI 83%

ASHUTOSH PANDEY

ASHUTOSH PANDEY 83%

ASHISH RANJAN

ASHISH RANJAN 83%

ARYAN SHARMA

ARYAN SHARMA 83%

ARYA COLLEGE OF ENGINEERING & INFORMATION TECHNOLOGY

SHIVANSHU SURENDRA SHRIVASTAVA

SHIVANSHU SURENDRA SHRIVASTAVA 83%

NAGA KALYAN REPALLE

NAGA KALYAN REPALLE 82%

KAUSTUV DEB

KAUSTUV DEB 82%

SUPREME KNOWLEDGE FOUNDATION GROUP OF INSTITUTIONS

DR.K.KUMAR

DR.K.KUMAR 82%

GOVERNMENT COLLEGE OF TECHNOLOGY

SURENDRA GUPTA

SURENDRA GUPTA 82%

SHRI GOVINDRAM SEKSARIA INSTITUTE OF TECHNOLOGY AND SCIENCES

KARTIKA

KARTIKA 82%

GURU NANAK DEV ENGINEERING COLLEGE

ANOOP A NAIR

ANOOP A NAIR 82%

Indian Institute of Science Education and Research, Thiruvananthapuram (IISER-Tvm)

NEHA CHAUDHARY

NEHA CHAUDHARY 82%

UTTARAKHAND TECHNICAL UNIVERSITY

RISHAV ADARSH

RISHAV ADARSH 82%

APARAJITH RAGHUVIR

APARAJITH RAGHUVIR 81%

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, DESIGN AND MANUFACTURING, KANCHEEPURAM

VISHNURAJ R

VISHNURAJ R 81%

Indian Institute of Technology Madras

AYUSH KUMAR

AYUSH KUMAR 81%

ADITYA DUBEY

ADITYA DUBEY 81%

BANARAS HINDU UNIVERSITY

SHILPA D GHODE

SHILPA D GHODE 80%

KAVIKULGURU INSTITUTE OF TECHNOLOGY AND SCIENCE

ANIKET SUJAY

ANIKET SUJAY 80%

A SAMUEL MOSES

A SAMUEL MOSES 80%

Indian Institute of Technology,Madras

SUDHEER POOJARY

SUDHEER POOJARY 80%

SHUBHAM KUMAR

SHUBHAM KUMAR 80%

SILAR MOHAMMED TANWIR

SILAR MOHAMMED TANWIR 80%

SANAT BHARGAVA

SANAT BHARGAVA 80%

DEEPAK PUTREVU

DEEPAK PUTREVU 80%

Indian Space Research Organization

ROMA GOEL

ROMA GOEL 79%

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, NAGPUR

KRISHNA KUMAR SUTAR

KRISHNA KUMAR SUTAR 79%

AAKASH KHEPAR

AAKASH KHEPAR 79%

ISHITA JAIN

ISHITA JAIN 79%

PEC UNIVERSITY OF TECHNOLOGY

ISHWARI SINGH RAJPUT

ISHWARI SINGH RAJPUT 79%

MRIDULA KUMARI

MRIDULA KUMARI 79%

FAYAZUR RAHAMAN MOHAMMAD

FAYAZUR RAHAMAN MOHAMMAD 78%

MAHATMA GANDHI INSTITUTE OF TECHNOLOGY

K M BHARATHVAJ

K M BHARATHVAJ 78%

NITISHA PRADHAN

NITISHA PRADHAN 78%

ADITYA KUMAR SINGH

ADITYA KUMAR SINGH 78%

SHUBHAM SANJAYKUMAR MANE

SHUBHAM SANJAYKUMAR MANE 78%

PRAGYA AGARWAL

PRAGYA AGARWAL 78%

Noida Institute of Engineering and Technology

RAJKUMAR LAKSHMANAMOORTHY

RAJKUMAR LAKSHMANAMOORTHY 78%

NIRO PROJECTS

JAGANATHAN ANNAMALAI PARAMESHWARAN

JAGANATHAN ANNAMALAI PARAMESHWARAN 78%

VIGNESH S

VIGNESH S 78%

ADITYA

PRADEEP REDDY GOGULAMUDI 78%

VIT-AP UNIVERSITY

SAROJ KUMAR PANDA

SAROJ KUMAR PANDA 78%

ABEENA A

ABEENA A 77%

Amrita vishwa Vidyapeetham

SAISH BALAJI DESAI

SAISH BALAJI DESAI 77%

SHUBHRANGSHU GHOSH

SHUBHRANGSHU GHOSH 77%

Tata Consultancy Services Pvt. Ltd.

AAJAZ AHMAD PADDER

AAJAZ AHMAD PADDER 77%

ARUN A V

ARUN A V 77%

GOVT. MODEL ENGINEERING COLLEGE

BACHU BALA RAJU

BACHU BALA RAJU 77%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

SIVA PRASATH K S K

SIVA PRASATH K S K 77%

Extreme Networks

AMAN SINGH

AMAN SINGH 77%

KAMALAKAR BAPANAPALLI

KAMALAKAR BAPANAPALLI 77%

Not Working

Enrollment Statistics

Total enrollment: 42058, registration statistics, total registration : 2254, assignment statistics, feedback videos.

Score Distribution Graph - Legend

Assignment score: distribution of average scores garnered by students per assignment., exam score : distribution of the final exam score of students., final score : distribution of the combined score of assignments and final exam, based on the score logic..

Quizermania Logo

Introduction to Machine Learning NPTEL Week 1 Solutions NPTEL 2023

This set of MCQ(multiple choice questions) focuses on the Introduction to Machine Learning NPTEL 2023 Week 1 Solutions .

With the increased availability of data from varied sources there has been increasing attention paid to the various data driven disciplines such as analytics and machine learning. In this course we intend to introduce some of the basic concepts of machine learning from a mathematically well motivated perspective. We will cover the different learning paradigms and some of the more popular algorithms and architectures used in each of these paradigms.

Course layout

Answers COMING SOON! Kindly Wait!

Week 1: Assignment answers Week 2: Assignment answers Week 3: Assignment answers Week 4: Assignment answers Week 5: Assignment answers Week 6: Assignment answers Week 7: Assignment answers Week 8: Assignment answers Week 9: Assignment answers Week 10: Assignment answers Week 11: Assignment answers Week 12: Assignment answers

NOTE:  You can check your answer immediately by clicking show answer button. Introduction to Machine learning NPTEL 2023 Week 1 Assignment Solution” contains 10 questions.

Now, start attempting the quiz.

Introduction to Machine learning NPTEL 2023 Week 1 Solutions

Q1. Which of the following is a supervised learning problem?

a) Grouping related documents from an unannotated corpus b) Predicting credit approval based on historical data c) Predicting rainfall based on historical data d) Predicting if a customer is going to return or keep a particular product he/she purchased from e-commerce website based on the historical data about the customer purchases and the particular product. e) Fingerprint recognition of a particular person used in biometric attendance from the fingerprint data of various other people and that particular person

Answer: b,c,d,e

Q2. Which of the following is not a classification problem?

a) Predicting the temperature (in Celsius) of a room from other environmental features (such as atmospheric pressure, humidity etc). b) Predicting if a cricket player is a batsman or bowler given his playing records. c) Predicting the price of house (in INR) based on the data consisting prices of other house (in INR) and its features such as area, number of rooms, location etc. d) Filtering of spam messages e) Predicting the weather for tomorrow as “hot”, “cold”, or “rainy” based on the historical data wind speed, humidity, temperature, and precipitation.

Answer: a,c

Q3. Which of the following is a regression task? (multiple options may be correct)

a) Predicting the monthly sales of a cloth store in rupees. b) Predicting if a user would like to listen to a newly released song or not based on historical data. c) Predicting the confirmation probability (in fraction) of your train ticket whose current status is waiting list based on historical data. d) Predicting if a patient has diabetes or not based on historical medical records. e) Predicting if a customer is satisfied or unsatisfied from the product purchased from e-commerce website using the the reviews he/she wrote for the purchased product.

Introduction to Machine Learning NPTEL Week 1 Solutions

Q4. Which of the following is an unsupervised task?

a) Predicting if a new edible item is sweet or spicy based on the information of the ingredients, their quantities, and labels (sweet or spicy) for many other similar dishes. b) Grouping related documents from an unannotated corpus. c) Grouping of hand-written digits from their image. d) Predicting the time (in days) a PhD student will take to complete his/her thesis to earn a degree based on the historical data such as qualifications, department, institute, research area, and time taken by other scholars to earn the degree. e) all of the above

Answer: b,c

Q5. Which of the following is a categorical feature?

a) Number of rooms in a hostel. b) Minimum RAM requirement (in GB) of a system to play a game like FIFA, DOTA. c) Your weekly expenditure in rupees. d) Ethnicity of a person e) Area (in sq. centimeter) of your laptop screen. f) The color of the curtains in your room.

Answer: d,f

Q6. Let X and Y be a uniformly distributed random variable over the interval [0, 4] and [0, 6] respectively. If X and Y are independent events, then compute the probability, P(max(X,Y)>3)

a) 1/6 b) 5/6 c) 2/3 d) 1/2 e) 2/6 f) 5/8 g) None of the above

Q7. Let the trace and determinant of a matrix A[acbd] be 6 and 16 respectively. The eigenvalues of A are

Q8. What happens when your model complexity increases? (multiple options may be correct)

a) Model Bias decreases b) Model Bias increases c) Variance of the model decreases d) Variance of the model increases

Answer: a,d

Q9. A new phone, E-Corp X1 has been announced and it is what you’ve been waiting for, all along. You decide to read the reviews before buying it. From past experiences, you’ve figured out that good reviews mean that the product is good 90% of the time and bad reviews mean that it is bad 70% of the time. Upon glancing through the reviews section, you find out that the X1 has been reviewed 1269 times and only 172 of them were bad reviews. What is the probability that, if you order the X1, it is a bad phone?

a)  0.136 b) 0.160 c) 0.360 d) 0.840 e) 0.773 f) 0.573 g) 0.181

Q10. Which of the following are false about bias and variance of overfitted and underfitted models? (multiple options may be correct)

a)  Underfitted models have high bias. b) Underfitted models have low bias. c) Overfitted models have low variance. d) Overfitted models have high variance.

>> Next- Introduction to Machine Learning Week 2 Assignment Solutions

For discussion about any question, join the below comment section. And get the solution of your query. Also, try to share your thoughts about the topics covered in this particular quiz.

Checkout for more NPTEL Courses: Click Here!

Related Posts

Article : english quiz, article | english quiz, conditional sentences | english grammar, software testing & quality assurance | assignment solutions, aiml basic mcq (multiple choice questions), verbal ability practice set | mcq, leave a comment cancel reply.

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

  • 1st Central Law Reviews: Expert Legal Analysis & Insights
  • Amazon Quiz
  • Flipkart Quiz
  • Play & Win 50,000 Coins
  • Privacy Policy

NPTEL Introduction to Machine Learning Assignment 6 Answers 2022

  • by QuizXp Team
  • February 25, 2022 March 25, 2022

NPTEL Introduction to Machine Learning Assignment 6

Are you looking for the Answers to NPTEL Introduction to Machine Learning Assignment 6 – IIT Madras? This article will help you with the answer to the  Nation al Programme on Technology Enhanced Learning  ( NPTEL )  Course “ NPTEL Introduction to Machine Learning Assignment 6 “

What is Introduction to Machine Learning?

With the increased availability of data from varied sources there has been increasing attention paid to the various data driven disciplines such as analytics and machine learning. In this course we intend to introduce some of the basic concepts of machine learning from a mathematically well motivated perspective. We will cover the different learning paradigms and some of the more popular algorithms and architectures used in each of these paradigms.

CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of the average of best 8 assignments out of the total 12 assignments given in the course. Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF THE AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

Below you can find the answers for NPTEL Introduction to Machine Learning Assignment 6

NPTEL Introduction to Machine Learning Assignment 6 Answers:-

Q1. Which of the following is very interpretable?

Q2. Which of these models are non-parametric?

Answer:- b,c

Q3. Entropy for a 50-50 split between two classes is:

Q4. Statement: Decision Tree is an unsupervised learning algorithm. Reason: The splitting criterion use only the features of the data to calculate their respective measures

Answer:- not sure right now will notify before deadline

???? Next Week Assignment Answers ????

quizxp telegram

Q5. Having built a decision tree, we are using reduced error pruning to reduce the size of the tree. We select a node to collapse. For this particular node, on the left branch, there are three training data points with the following outputs: 5, 7, 9.6, and for the right branch, there are four training data points with the following outputs: 8.7, 9.8, 10.5, 11.

The maximum value of the outputs of data points denotes the response of a branch. The original responses for data points along the two branches (left & right respectively) were response _ left and, response _ right and the new response after collapsing the node is response _ new . What are the values for response left, response _ right and response _ new (numbers in the option are given in the same order)?

For Online programming test help and final exam preparation material Click Me

Q6. Which among the following split-points for the feature 1 would give the best split according to the information gain measure?

introduction to machine learning nptel assignment answers

Q7. For the same dataset, which among the following split-points for feature 2 would give the best split according to the gini index measure?

???? If there are any changes in answers will notify you on telegram so you can get a 100% score, So Join ???? ????

Q8. Consider a dataset with only one attribute(categorical). Suppose, there are 10 unordered values in this attribute, how many possible combinations are needed to find the best split-point for building the decision tree classifier?

For other courses answers:- Visit

For Internship and job updates:- Visit

Disclaimer: We do not claim 100% surety of answers, these answers are based on our sole knowledge, and by posting these answers we are just trying to help students, so we urge do your assignment on your own.

if you have any suggestions then comment below or contact us at  [email protected]

If you found this article Interesting and helpful, don’t forget to share it with your friends to get this information.

NPTEL Introduction to Machine Learning Assignment 6 Answers 2022:- All the Answers provided here to help the students as a reference, You must submit your assignment at your own knowledge.

x

NPTEL Introduction to Machine Learning Assignment 4 Answers 2023

NPTEL Introduction to Machine Learning Assignment 4 Answers 2023:-  In This article, we have provided the answers of Introduction to Machine Learning Assignment 4 You must submit your assignment to your own knowledge.

What is Introduction to Machine Learning?

With the increased availability of data from varied sources, there has been increasing attention paid to the various data-driven disciplines such as analytics and machine learning. In this course, we intend to introduce some of the basic concepts of machine learning from a mathematically well-motivated perspective. We will cover the different learning paradigms and some of the more popular algorithms and architectures used in each of these paradigms. CRITERIA TO GET A CERTIFICATE Average assignment score = 25% of the average of best 8 assignments out of the total 12 assignments given in the course. Exam score = 75% of the proctored certification exam score out of 100 Final score = Average assignment score + Exam score YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF THE AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

NPTEL Introduction To Machine Learning Week 4 Assignment Answer 2023

NPTEL Introduction to Machine Learning Assignment 4 Answers 2023

Q2. Which of the following loss functions are convex? (Multiple options may be correct)

  • 0-1 loss (sometimes referred as mis-classification loss)
  • Logistic lo s s
  • Squared error loss

Q3. Which of the following are valid kernel functions?

  • (1+ < x, x’ >) d
  • tanℎ(K 1 <x,x’>+K2)
  • exp(−γ||x−x’| | 2)

NPTEL Introduction to Machine Learning Assignment 4 Answers 2023

State true or false: Th e dataset becomes linearly separable after using basis expansion with the following basis function ϕ(x)=[1x 3 ]

Q5. State True or False: SVM cannot classify data that is not linearly separable even if we transform it to a higherdimensional space.

Q6. State True or False: The decision boundary obtained using the perceptron algorithm does not depend on the init i al values of the weights.

Q7. Consider a linear SVM trained with n labeled points in R 2 without slack penalties and resulting in k=2 support vectors, where n>100. By removing one labeled training point and retraining the SVM classifier, what is the max i mum possible number of support vectors in the resulting solution?

Q8. Consider an SVM with a second order polynomial kerne l. Kernel 1 maps each input data point x to K 1 (x)=[x x 2 ]. Kernel 2 maps each input data point x to K 2 (x)=[3x 3×2]. Assume the hyper-parameters are fixed. Which of the following option is true?

  • The margin obtained using K 2 (x) will be larger than the margin obtained using K 1 (x).
  • The margin obtained using K 2 (x) will be smaller than the margin obtained using K 1 (x).
  • The margin obtained using K 2 (x) will be the same as the margin obtained using K 1 (x).

NPTEL Introduction to Machine Learning Assignment 4 Answers July 2022

1. Consider the 1-dimensional dataset: State true or false: The dataset becomes linearly separable after using basis expansion with the following basis function ϕ(x)=[1×3]ϕ(x)=[1×3]

NPTEL Introduction to Machine Learning Assignment 4 Answers 2023

2. Consider a linear SVM trained with nn labeled points in R2R2 without slack penalties and resulting in k=2k=2 support vectors, where n>100n>100. By removing one labeled training point and retraining the SVM classifier, what is the maximum possible number of support vectors in the resulting solution? a. 1 b. 2 c. 3 d. n − 1 e. n

Answers will be Uploaded Shortly and it will be Notified on Telegram, So  JOIN NOW

NPTEL Introduction to Machine Learning Assignment 4 Answers 2023

3. Which of the following are valid kernel functions? a. (1+<x,x’>)d(1+<x,x′>)d b. tanh(K1<x,x’>+K2) c. exp(−γ||x−x’||2)

4. Consider the following dataset:

NPTEL Introduction to Machine Learning Assignment 4 Answers 2023

Which of these is not a support vector when using a Support Vector Classifier with a polynomial kernel with degree =3,C=1,=3,C=1, and gamma =0.1?=0.1? (We recommend using sklearn to solve this question.) a. 3 b.1 c. 9 d. 10

5. Consider an SVM with a second order polynomial kernel. Kernel 1 maps each input data point xx to K1(x)=[x x2]. Kernel 2 maps each input data point xx to K2(x)=[3x 3×2]K2(x). Assume the hyper-parameters are fixed. Which of the following option is true? a. The margin obtained using K2(x)K2(x) will be larger than the margin obtained using K1(x)K1(x). b. The margin obtained using K2(x)K2(x) will be smaller than the margin obtained using K1(x)K1(x). c. The margin obtained using K2(x)K2(x) will be the same as the margin obtained using K1(x)K1(x).

6. Train a Linear perceptron classifier on the modified iris dataset. Report the best classification accuracy for l1 and elasticnet penalty terms.

(We recommend using sklearn.) a. 0.82, 0.64 b. 0.90, 0.71 c. 0.84, 0.82 d. 0.78, 0.64

👇 For Week 05 Assignment Answers 👇

7. Train an SVM classifier on the modified iris dataset. We encourage you to explore the impact of varying different hyperparameters of the model. Specifically, try different kernels and the associated hyperparameters. As part of the assignment, train models with the following set of hyperparameters poly, gamma=0.4gamma=0.4, one-vs-rest classifier, no-feature-normalization. a. 0.98 b. 0.96 c. 0.92 d. 0.94

For More NPTEL Answers:-  CLICK HERE Join Our Telegram:-  CLICK HERE

NPTEL Introduction to Machine Learning Assignment 4 Answers 2022:- In This article, we have provided the answers of Introduction to Machine Learning Assignment 4

Disclaimer :- We do not claim 100% surety of solutions, these solutions are based on our sole expertise, and by using posting these answers we are simply looking to help students as a reference, so we urge do your assignment on your own.

NPTEL Introduction to Machine Learning Assignment 4 Answers Jan 2022

Q1.  Consider the 1 dimensional dataset:

State true or false: The dataset becomes linearly separable after using basis expansion with the following basis function  ϕ ( x )=[1 x 2]

Answer:- a

👇 FOR NEXT WEEK ASSIGNMENT ANSWERS 👇

Q2.  Consider the data set given below.

Claim: PLA (perceptron learning algorithm) can learn a classifier that achieves zero misclassification error on the training data. This claim is:

Answer:-   c

Q3.  Which of the following is the correct definition for the neural network kernel?

Answer:-  b

Q4.  State True or False SVM cannot classify data that is not linearly separable even if we transform it to a higher- dimensional space.

Q5.  Consider the following dataset:

Which of these is not a support vector when using a Support Vector Classifier with a polynomial kernel with degree = 3,  C  = 1, and gamma = 0.1?

Q6.  State True or False:

The decision boundary obtained using the perceptron algorithm does not depend on the initial values of the weights.

Answer:-   b

Q7.  Train a Linear perceptron classifier on the modified iris dataset. We recommend using sklearn. Use only the first two features for your model and report the best classification accuracy for l1 and l2 penalty terms.

Answer:-   a

Q8.  Train a SVM classifier on the modified iris dataset. We recommend using sklearn. Use only the first three features. We encourage you to explore the impact of varying different hyperparameters of the model. Specifically try different kernels and the associated hyperparameters. As part of the assignment train models with the following set of hyperparameters RBF-kernel, gamma = 0.5, one-vs-rest classifier, no-feature-normalization.

Try  C  = 0.01, 1, 10. For the above set of hyperparameters, report the best classification accuracy.

Answer:- For Answer Click Here

NPTEL Introduction to Machine Learning Assignment 4 Answers 2022:-  In This article, we have provided the answers of Introduction to Machine Learning Assignment 4

For More NPTEL Answers:-  CLICK HERE

Join Our Telegram:-  CLICK HERE

6 thoughts on “NPTEL Introduction to Machine Learning Assignment 4 Answers 2023”

  • Pingback: NPTEL Introduction To Machine Learning Assignment 3 Answers » UNIQUE JANKARI
  • Pingback: NPTEL Introduction To Machine Learning Assignment 5 Answers
  • Pingback: NPTEL Introduction To Machine Learning Assignment 6 Answers
  • Pingback: NPTEL Introduction To Machine Learning Assignment 7 Answers

We need week 8 assignment

Introduction to machine learning iit Madras

Leave a Comment Cancel reply

You must be logged in to post a comment.

Category: NPTEL

The joy of computing using python | week 8, soft skills development | week 8, quantum mechanics 1 | week 8, programming in modern c++ | week 8, programming in java | week 8, principles of management | week 8, leadership and team effectiveness | week 8, introduction to programming in c week 8, introduction to internet of things week 8, introduction to industry 4.0 and industrial internet of things | week 8.

introduction to machine learning nptel assignment answers

NPTEL: Exam Registration is open now for July 2023 courses!

Dear Candidate,

Here is a golden opportunity for those who had previously enrolled in this course during the Jan 2023 semester, but could not participate in the exams or were absent/did not pass the exam for this course. This course is being reoffered in July 2023 and we are giving you another chance to write the exam in October 2023 and obtain a certificate based on NPTEL norms. Do not let go of this unique opportunity to earn a certificate from the IITs/IISc.

IMPORTANT instructions for learners - Please read this carefully  

1. The exam date for this course: Oct 29, 2023

2. CLICK HERE to register for the exam.

Please fill the exam form using the same Enrolled email id & make fee payment via the form, as before.

3. Choose from the Cities where exam will be conducted: Exam Cities

4. You DO NOT have to re-enroll in the courses. 

5. You DO NOT have to resubmit Assignments OR participate in the non-proctored programming exams(if applicable) in the previous semester

6. If you do enroll in the July 2023 course, we will take the best average assignment scores/non-proctored programming exam(if applicable) score across the two semesters.

Please check once if you have >= 40/100  in average assignment score and also participated and satisfied the criteria in the non-proctored programming exams(if applicable) that were conducted in Jan 2023 to become eligible for the e-certificate, wherever applicable.

If not, please submit assignments again in the July 2023 course and also participate in the non-proctored programming exams(if applicable) to become eligible for the e-certificate.

We will not be having new assignments or unproctored exams(if applicable) in the previous semester's (Jan 2023) course. 

RECOMMENDATION: If you want to take new assignments and an unproctored exam(if applicable) or brush up on your lessons for the exam, please enroll in the July 2023 course.

Click here to enroll in the current course, links are provided corresponding to the course name.

7. Exam fees: 

If you register for the exam and pay before Aug 14, 2023, 5:00 PM, Exam fees will be Rs. 1000/- per exam .

8. 50% fee waiver for the following categories: 

Students belonging to the SC/ST category: please select Yes for the SC/ST option and upload the correct Community certificate.

Students belonging to the PwD category with more than 40% disability: please select Yes for the option and upload the relevant Disability certificate. 

9. Last date for exam registration: Aug 18, 2023, 5:00 PM (Friday). 

10. Between Aug 14, 2023, 5:00 PM & Aug 18, 2023, 5:00 PM late fee will be applicable.

11. Mode of payment: Online payment - debit card/credit card/net banking/UPI. 

12. HALL TICKET: 

The hall ticket will be available for download tentatively by 2 weeks prior to the exam date. We will confirm the same through an announcement once it is published. 

13. FOR CANDIDATES WHO WOULD LIKE TO WRITE MORE THAN 1 COURSE EXAM:- you can add or delete courses and pay separately – till the date when the exam form closes. Same day of exam – you can write exams for 2 courses in the 2 sessions. Same exam center will be allocated for both the sessions. 

14. Data changes: 

Last date for data changes: Aug 18, 2023, 5:00 PM :  

We will charge an additional fee of Rs. 200 to make any changes related to name, DOB, photo, signature, SC/ST and PWD certificates after the last date of data changes.

The following 6 fields can be changed (until the form closes) ONLY when there are NO courses in the course cart. And you will be able to edit those fields only if you: - 

REMOVE unpaid courses from the cart And/or - CANCEL paid courses 

1. Do you come under the SC/ST category? * 

2. SC/ST Proof 

3. Are you a person with disabilities? * 

4. Are you a person with disabilities above 40%? 

5. Disabilities Proof 

6. What is your role? 

Note: Once you remove or cancel a course, you will be able to edit these fields immediately. 

But, for cancelled courses, refund of fees will be initiated only after 2 weeks. 

15. LAST DATE FOR CANCELLING EXAMS and getting a refund: Aug 18, 2023, 5:00 PM  

16. Click here to view Timeline and Guideline : Guideline

Domain Certification

Domain Certification helps learners to gain expertise in a specific Area/Domain. This can be helpful for learners who wish to work in a particular area as part of their job or research or for those appearing for some competitive exam or becoming job ready or specialising in an area of study.  

Every domain will comprise Core courses and Elective courses. Once a learner completes the requisite courses per the mentioned criteria, you will receive a Domain Certificate showcasing your scores and the domain of expertise. Kindly refer to the following link for the list of courses available under each domain: https://nptel.ac.in/domains

Outside India Candidates

Candidates who are residing outside India may also fill the exam form and pay the fees. Mode of exam and other details will be communicated to you separately.

Thanks & Regards, 

Thank you for learning with NPTEL!!

Dear Learner, Thank you for taking the course with NPTEL!! Hope you enjoyed the journey with us. The results for this course have been published and we are closing this course now.  You will still have access to the contents and assignments of this course, if you click on the course name from the "Mycourses" tab on swayam.gov.in. For any further queries please write to [email protected] . - Team NPTEL

Introduction to Machine Learning : Result Published!!

                                      ***THIS IS APPLICABLE ONLY FOR EXAM REGISTERED CANDIDATES***                             ****Please don't click on below link, if you are not registered/not present for the Exam****                          Dear Candidate, The exam scores and E Certificates have been released for April 2023 Exam(s). Step 1 - Are the results of my courses released? Please check the Results published courses list in the below links.:- Apr 2023 Exam - Click here Step 2 - How to check Results? Please login to internalapp.nptel.ac.in/ . and check your exam results. Use the same login credentials as used to register to the exam. What's next? Please read the pass criteria carefully and check against what you have gotten. If you still have any issues, please report the same here. internalapp.nptel.ac.in/ . We will reply within a week. Last date to report queries: 3 days within publishing of scores. Note : Hard copies of certificates will not be dispatched. The duration shown in the certificate will be based on the timeline of offering of the course in 2023, irrespective of which Assignment score that will be considered. Thanks and Best wishes. NPTEL Team

Survey on Problem Solving sessions - Introduction to Machine Learning - (noc23-cs18)

Dear Learners, We would like to know if the expectations with which you attended this problem solving session are being met and hence please do take 2 minutes to fill out our feedback form. It would help us tremendously in gauging the learner experience. Here is the link to the form:  https://docs.google.com/forms/d/18R3vlAYxYGwda5bbutnUq0R2MSgiMRrbve5cJ7qD5W8/viewform -NPTEL TEAM

Introduction to Machine Learning : Final Feedback Form !!!

Dear students, We are glad that you have attended the NPTEL online certification course. We hope you found the NPTEL Online course useful and have started using NPTEL extensively. In this regard, we would like to have feedback from you regarding our course and whether there are any improvements, you would like to suggest.   We are enclosing an online feedback form and would request you to spare some of your valuable time to input your observations. Your esteemed input will help us in serving you better. The link to give your feedback is: https://docs.google.com/forms/d/1cD0v9YXupkwZMligiNMvxoczy5-iYj21rpSjONuAX54/viewform We thank you for your valuable time and feedback. Thanks & Regards, -NPTEL Team

April 2023 NPTEL Exams - Hall Tickets Released!

***THIS IS APPLICABLE ONLY FOR EXAM REGISTERED CANDIDATES***     ****Please don't click on below link, if you are not registered for the Exam**** Dear Candidate, Your Hall Ticket / admit card for the NPTEL Exam(s) in April, 2023 has been released. Please login to https://internalapp.nptel.ac.in/ using your exam registered email id and download your hall ticket. Note:  Requests for changes in exam city, exam center, exam date, session, or course will NOT be entertained. Please write to [email protected] for any further queries. All the best for your exams! Warm Regards NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 12 live now!!

Dear Learner, Assignment 12 solutions are available in the portal, Go through it once . Assignment 12 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=129&lesson=134 -Nptel Team

Introduction to Machine Learning : Problem solving Session Reminder !!

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1:  Date:April 22, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: April 22, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: April 21, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1:  Date:April 15, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: April 15, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Introduction to Machine Learning : Problem solving Session Updated !!

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: April 14, 2023 - Friday Time: 04.00 PM - 06.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 11 live now!!

Dear Learner, Assignment 11 solutions are available in the portal, Go through it once . Assignment 11 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=122&lesson=127 -Nptel Team

Week 12 Feedback Form: Introduction to Machine Learning

Dear Learners, Thank you for continuing with the course and hope you are enjoying it. We would like to know if the expectations with which you joined this course are being met and hence please do take 2 minutes to fill out our weekly feedback form. It would help us tremendously in gauging the learner experience. Here is the link to the form:    https://docs.google.com/forms/d/12xV5aJuc8r4uCZJVncM-uW6WVEMjFfIw6aSDN58uMbw/viewform Thank you -NPTEL team

Exam Format - April, 2023 !!

Dear Candidate, ****This is applicable only for the exam registered candidates**** Type of exam will be available in the list: Click Here You will have to appear at the allotted exam center and produce your Hall ticket and Government Photo Identification Card (Example: Driving License, Passport, PAN card, Voter ID, Aadhaar-ID with your Name, date of birth, photograph and signature) for verification and take the exam in person.  You can find the final allotted exam center details in the hall ticket. The hall ticket is yet to be released.  We will notify the same through email and SMS. Type of exam: Computer based exam (Please check in the above list corresponding to your course name) The questions will be on the computer and the answers will have to be entered on the computer; type of questions may include multiple choice questions, fill in the blanks, essay-type answers, etc. Type of exam: Paper and pen Exam  (Please check in the above list corresponding to your course name) The questions will be on the computer. You will have to write your answers on sheets of paper and submit the answer sheets. Papers will be sent to the faculty for evaluation. On-Screen Calculator Demo Link: Kindly use the below link to get an idea of how the On-screen calculator will work during the exam. https://tcsion.com/ OnlineAssessment/ ScientificCalculator/ Calculator.html NOTE: Physical calculators are not allowed inside the exam hall. Thank you! -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1:  Date:April 08, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: April 08, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Introduction to Machine Learning - Week 12 content is live now !!

Dear Learners, The lecture videos for Week 12  have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link.   Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=129&lesson=130 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-12  for Week-12  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=129&assessment=171 Assignment-12  for Week-12  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=129&assessment=159 The assignment has to be submitted on or before Wednesday,[19/04/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: April 07, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 10 live now!!

Dear Learner, Assignment 10 solutions are available in the portal, Go through it once . Assignment 10 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=113&lesson=120 -Nptel Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1:  Date:April 01, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: April 01, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Introduction to Machine Learning - Week 11 content is live now !!

Dear Learners, The lecture videos for Week 11  have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link.   Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=122&lesson=123 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-11  for Week-11  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=122&assessment=170 Assignment-11  for Week-11  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=122&assessment=158 The assignment has to be submitted on or before Wednesday,[12/04/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 9 live now!!

Dear Learner, Assignment 9 solutions are available in the portal, Go through it once . Assignment 9 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=104&lesson=110 -Nptel Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: March 31, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Week 10 Feedback Form: Introduction to Machine Learning

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1:  Date:March 25, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: March 25, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Introduction to Machine Learning - Week 10 content is live now !!

Dear Learners, The lecture videos for Week 10  have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link.   Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=113&lesson=114 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-10  for Week-10  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=113&assessment=169 Assignment-10  for Week-10  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=113&assessment=157 The assignment has to be submitted on or before Wednesday,[05/04/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Introduction to Machine Learning : Problem solving Session Postponed!!

Dear learner, Due to unavoidable circumstances, The Problem solving Session organized today (March 24, 2023 - Friday)(06.00 PM - 08.00 PM) is Postponed to March 25, 2023 - Saturday. We invite you to join the session and get your doubts cleared and learn better. Date: March 25, 2023 - Saturday Time:  03.00 PM - 05.00 PM Link to join:  https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 8 live now!!

Dear Learner, Assignment 8 solutions are available in the portal, Go through it once . Assignment 8 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=95&lesson=102 -Nptel Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: March 24, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Introduction to Machine Learning : Problem solving Session Cancellation!!

Dear learner, Due to unavoidable circumstances, The Problem solving Session organized for the course Introduction to Machine Learning on every  Saturday  from  05.00 PM - 07.00 PM  is cancelled. -NPTEL Team

Potential additional date (April 28th) for the April 2023 NPTEL exams

***THIS IS APPLICABLE ONLY FOR EXAM REGISTERED CANDIDATES*** Dear Student, Greetings from NPTEL! The Jan 2023 session is coming to an end soon and it’s time to put all your best efforts for the certification exam. The NPTEL team has always been there to make your learning process a joyful one and we hope that with your support we will be able to overcome the challenges of conducting a nation-wide exam of this magnitude. With the closure of exam registration form for the NPTEL April 2023 exams, the final registration count stands at 5.1 Lakh compared to 3.7 Lakh reported during the Jul-Dec 2022 semester. Based on the previous semester data, seats at the certification exam centres are booked by NPTEL at the beginning of the exam registration process. As the semester progresses, sometimes these numbers exceed our estimate, especially on certain dates and certain exam cities. Our goal is to allocate the chosen exam cities to all our learners. And by and large, we are able to allocate the chosen cities and dates with active support from our exam partner and our partner colleges. All efforts are being made to allocate the city of choice or the next nearest exam city for the April 29th/30th 2023 exams, as scheduled. However, in view of the unexpectedly large volume of exam registrations & limitation of seats at certain cities on a particular date, we may be compelled to shift the exam date of certain candidates to 28th April 2023 (Friday) as a last resort, only after exhausting all possibilities. We hope that you will appreciate our logistical constraints of such rescheduling and extend all necessary support as before and participate in the exam. With best wishes for the forthcoming exam(s), Warm regards, NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 7 live now!!

Dear Learner, Assignment 7 solutions are available in the portal, Go through it once . Assignment 7 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=84&lesson=93 -Nptel Team

Week 9 Feedback Form: Introduction to Machine Learning

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1:  Date:March 18, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: March 18, 2023 - Saturday Time:05.00 PM - 07.00 PM Link to join: https://meet.google.com/epj-ejva-hfv Session 3 :  Date: March 18, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Introduction to Machine Learning - Week 9 content is live now !!

Dear Learners, The lecture videos for Week 9  have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link.   Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=104&lesson=105 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-9  for Week-9  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=104&assessment=168 Assignment-9  for Week-9  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=104&assessment=156 The assignment has to be submitted on or before Wednesday,[29/03/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: March 17, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Week 8 Feedback Form: Introduction to Machine Learning

We would like to know if the expectations with which you attended this problem solving session are being met and hence please do take 2 minutes to fill out our feedback form. It would help us tremendously in gauging the learner experience. Here is the link to the form:  https://docs.google.com/forms/d/18R3vlAYxYGwda5bbutnUq0R2MSgiMRrbve5cJ7qD5W8/viewform

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: March 13, 2023 - Monday Time:05.00 PM - 07.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Dear learner, Due to unavoidable circumstances, The Problem solving Session organized today (March 11, 2023 - Saturday)(07.00 PM - 09.00 PM) is Postponed to March 13, 2023 - Monday. The G-meet link for the session will be shared before the session. -NPTEL Team

Introduction to Machine Learning - Week 8 content is live now !!

Dear Learners, The lecture videos for Week 8  have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link.   Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=95&lesson=96 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-8  for Week-8  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=95&assessment=164 Assignment-8  for Week-8  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=95&assessment=155 The assignment has to be submitted on or before Wednesday,[22/03/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1:  Date:March 11, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: March 11, 2023 - Saturday Time:05.00 PM - 07.00 PM Link to join: https://meet.google.com/epj-ejva-hfv Session 3 :  Date: March 11, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 6 live now!!

Dear Learner, Assignment 6 solutions are available in the portal, Go through it once . Assignment 6 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=71&lesson=82 -Nptel Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: March 10, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Week 7 Feedback Form: Introduction to Machine Learning

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: March 05, 2023 - Sunday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Introduction to Machine Learning - Week 7 content is live now !!

Dear Learners, The lecture videos for Week 7  have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link.   Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=84&lesson=85 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-7  for Week-7  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=84&assessment=167 Assignment-7  for Week-7  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=84&assessment=154 The assignment has to be submitted on or before Wednesday,[15/03/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learner, Due to unavoidable circumstances, The Problem solving Session organized tomorrow (March 4, 2023 - Saturday)(07.00 PM - 09.00 PM) is Postponed to March 5, 2023 - Sunday. The G-meet link for the session will be shared before the session. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1:  Date:March 04, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: March 04, 2023 - Saturday Time:05.00 PM - 07.00 PM Link to join: https://meet.google.com/epj-ejva-hfv Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: March 03, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 5 live now!!

Dear Learner, Assignment 5 solutions are available in the portal, Go through it once . Assignment 5 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=60&lesson=70 -Nptel Team

Week 6 Feedback Form: Introduction to Machine Learning

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1:  Date:February 25, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: February 25, 2023 - Saturday Time:05.00 PM - 07.00 PM Link to join: https://meet.google.com/epj-ejva-hfv Session 3 :  Date: February 25, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Introduction to Machine Learning - Week 6 content is live now !!

Dear Learners, The lecture videos for Week 6  have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link.   Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=71&lesson=72 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-6  for Week-6  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=71&assessment=163 Assignment-6  for Week-6  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=71&assessment=153 The assignment has to be submitted on or before Wednesday,[08/03/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: February 24, 2023 - Friday Time:04.30 PM - 06.30 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 4 live now!!

Dear Learner, Assignment 4 solutions are available in the portal, Go through it once . Assignment 4 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=51&lesson=59 -Nptel Team

Week 5 Feedback Form: Introduction to Machine Learning

Introduction to machine learning - week 5 content is live now .

Dear Learners, The lecture videos for Week 5  have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link.   Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=60&lesson=61 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-5  for Week-5  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=60&assessment=162 Assignment-5  for Week-5  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=60&assessment=152 The assignment has to be submitted on or before Wednesday,[01/03/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1:  Date:February 18, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Session 2 :  Date: February 18, 2023 - Saturday Time:05.00 PM - 07.00 PM Link to join: https://meet.google.com/epj-ejva-hfv Session 3 :  Date: February 18, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Happy Learning. -NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignment 3 live now!!

Dear Learner, Assignment 3 solutions are available in the portal ,Go through it once . Assignment 3 Solution Link :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=42&lesson=49 -Nptel Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: February 17, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Week 4 Feedback Form: Introduction to Machine Learning

Introduction to machine learning - problem solving session recording is available.

Dear Learner, We have uploaded the Recorded videos of the Live Interaction Session - Problem solving Session of Week 1 . Videos are uploaded inside the Separate Unit called " Problem solving Session " along with the slides used wherever applicable. Login to the course on swayam.gov.in to check the same. -NPTEL Team

Introduction to Machine Learning : Problem solving Session

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1:  Date:February 10, 2023 - Saturday Time:05.00 PM - 07.00 PM Link to join: https://meet.google.com/epj-ejva-hfv Session 2 :  Date: February 10, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Session 3 :  Date: February 10, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Happy Learning. -NPTEL Team

Introduction to Machine Learning - Week 4 content is live now !!

Dear Learners, The lecture videos for Week 4  have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link.   Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=51&lesson=52 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-4  for Week-4  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=51&assessment=166 Assignment-4  for Week-4  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=51&assessment=151 The assignment has to be submitted on or before Wednesday,[22/02/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: February 10, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Introduction to Machine Learning : Assignment solutions for Assignments 1 & 2 live now!!

Dear Learner, Assignments 1 & 2 solutions are available in the portal ,Go through it once . Assignment 1 solutions :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=22&lesson=31 Assignment 2 solutions :  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=32&lesson=41 -Nptel Team

Week 3 Feedback Form: Introduction to Machine Learning

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: February 4, 2023 - Saturday Time:05.00 PM - 07.00 PM Link to join: https://meet.google.com/epj-ejva-hfv Session 2 :  Date: February 4, 2023 - Saturday Time:07.00 PM - 09.00 PM Link to join: https://meet.google.com/aqg-nqgx-mgj Session 3 :  Date: February 4, 2023 - Saturday Time:03.00 PM - 05.00 PM Link to join: https://meet.google.com/ajc-ehpn-eey Happy Learning. -NPTEL Team

Introduction to Machine Learning - Week 3 content is live now !!

Dear Learners, The lecture videos for Week 3  have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link.   Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=42&lesson=43 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-3  for Week-3  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=42&assessment=165 Assignment-3  for Week-3  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=42&assessment=150 The assignment has to be submitted on or before Wednesday,[15/02/2023], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: February 3, 2023 - Friday Time:06.00 PM - 08.00 PM Link to join: https://meet.google.com/chq-qqbr-fxd Happy Learning. -NPTEL Team

Dear learner, Every week there will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1 :  Start Date: February 3, 2023 When: Every Friday Time: 06.00 PM - 08.00 PM Link to join:  https://meet.google.com/chq-qqbr-fxd Session 2 :  Start Date: February 4, 2023 When: Every Saturday Time: 05.00 PM - 07.00 PM Link to join:   meet.google.com/epj-ejva-hfv Session 3 :  Start Date:  February 4, 2023 When: Every Saturday Time: 07.00 PM - 09.00 PM Link to join:   meet.google.com/aqg-nqgx-mgj Session 4 :  Start Date:  February 4, 2023 When: Every Saturday Time: 03.00 PM - 05.00 PM Link to join:   https://meet.google.com/ajc-ehpn-eey Thank you. -NPTEL team

Week 2 Feedback Form: Introduction to Machine Learning

Introduction to machine learning - week-2 content is live now .

Dear Learners, The lecture videos for Week 2 have been uploaded for the course " Introduction to Machine Learning ".The lectures can be accessed using the following   Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=32&lesson=33 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-2 for Week-2 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=32&assessment=161 Assignment-2 for Week-2 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=32&assessment=148 The assignment has to be submitted on or before Wednesday,[08/02/2023], 23:59 IST . As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Week 1 Feedback Form: Introduction to Machine Learning

Dear Learner Thank you for continuing with the course and hope you are enjoying it. We would like to know if the expectations with which you joined this course are being met and hence please do take 2 minutes to fill out our weekly feedback form. It would help us tremendously in gauging the learner experience. Here is the link to the form:  https://docs.google.com/forms/d/12xV5aJuc8r4uCZJVncM-uW6WVEMjFfIw6aSDN58uMbw/viewform Thank you -NPTEL team

Introduction to Machine Learning - Week 1 content is live now !!

Dear Learners, The lecture videos for Week 1 have been uploaded for the course " Introduction to Machine Learning ".The lectures can be accessed using the following   Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=22&lesson=23 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-1 for Week-1 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=22&assessment=160 Assignment-1 for Week-1 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=22&assessment=147 The assignment has to be submitted on or before Wednesday,[08/02/2023], 23:59 IST . As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Introduction to Machine Learning - Week-1 video is live now !!

Dear Learners, The lecture videos for Week 1 have been uploaded for the course “Introduction to Machine Learning” . The lectures can be accessed using the following link: Link : https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=22&lesson=23 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Assignment will be released shortly. As we have done so far, please use the discussion forums if you have any questions on this module. Thanks & Regards   -NPTEL Team

Introduction to Machine Learning - Week 0 content is live now !!

Dear Learners, We welcome you all to this course "Introduction to Machine Learning". The assignment 0 has been released. This assignment is based on a prerequisite of the course. You can find the assignment in the link : https://onlinecourses.nptel.ac.in/noc23_cs18/unit?unit=16&assessment=146 Please note that this assignment is for practice and it will not be graded. Thanks & Regards   -NPTEL Team

NPTEL: Exam Registration is open now for Jan 2023 courses!

Dear Learner, 

Here is the much-awaited announcement on registering for the Jan 2023 NPTEL course certification exam. 

1. The registration for the certification exam is open only to those learners who have enrolled in the course. 

2. If you want to register for the exam for this course, login here using the same email id which you had used to enroll to the course in Swayam portal. Please note that Assignments submitted through the exam registered email id ALONE will be taken into consideration towards final consolidated score & certification. 

3 . Date of exam: Apr 30, 2023

CLICK HERE to register for the exam. 

Choose from the Cities where exam will be conducted: Exam Cities

4. Exam fees: 

If you register for the exam and pay before Mar 17, 2023, 5:00 PM, Exam fees will be Rs. 1000/- per exam .

5. 50% fee waiver for the following categories: 

6. Last date for exam registration: Mar 17, 2023, 5:00 PM (Friday). 

7. Mode of payment: Online payment - debit card/credit card/net banking/UPI. 

8. HALL TICKET: 

The hall ticket will be available for download tentatively by 2 weeks prior to the exam date . We will confirm the same through an announcement once it is published. 

9. FOR CANDIDATES WHO WOULD LIKE TO WRITE MORE THAN 1 COURSE EXAM:- you can add or delete courses and pay separately – till the date when the exam form closes. Same day of exam – you can write exams for 2 courses in the 2 sessions. Same exam center will be allocated for both the sessions. 

10. Data changes: 

Last date for data changes: Mar 17, 2023, 5:00 PM :  

All the fields in the Exam form except for the following ones can be changed until the form closes. 

The following 6 fields can be changed ONLY when there are NO courses in the course cart. And you will be able to edit the following fields only if you: - 

6. What is your role ? 

11. LAST DATE FOR CANCELLING EXAMS and getting a refund: Mar 17, 2023, 5:00 PM  

12. Click here to view Timeline and Guideline : Guideline

Introduction to Machine Learning: Welcome to NPTEL Online Course - Jan 2023!!

  • Every week, about 2.5 to 4 hours of videos containing content by the Course instructor will be released along with an assignment based on this. Please watch the lectures, follow the course regularly and submit all assessments and assignments before the due date. Your regular participation is vital for learning and doing well in the course. This will be done week on week through the duration of the course.
  • Please do the assignments yourself and even if you take help, kindly try to learn from it. These assignments will help you prepare for the final exams. Plagiarism and violating the Honor Code will be taken very seriously if detected during the submission of assignments.
  • The announcement group - will only have messages from course instructors and teaching assistants - regarding the lessons, assignments, exam registration, hall tickets, etc.
  • The discussion forum (Ask a question tab on the portal) - is for everyone to ask questions and interact. Anyone who knows the answers can reply to anyone's post and the course instructor/TA will also respond to your queries.
  • Please make maximum use of this feature as this will help you learn much better.
  • If you have any questions regarding the exam, registration, hall tickets, results, queries related to the technical content in the lectures, any doubts in the assignments, etc can be posted in the forum section
  • The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
  • The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
  • Date and Time of Exams: April 30, 2023  Morning session 9am to 12 noon; Afternoon Session 2 pm to 5 pm.
  • Registration URL: Announcements will be made when the registration form is open for registrations.
  • The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
  • Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.
  • Once again, thanks for your interest in our online courses and certification. Happy learning.

A project of

introduction to machine learning nptel assignment answers

In association with

introduction to machine learning nptel assignment answers

IMAGES

  1. 2022 NPTEL Introduction to Machine Learning Week 2 Assignment 2

    introduction to machine learning nptel assignment answers

  2. NPTEL Introduction to Machine Learning Week 4 Assignment Solutions

    introduction to machine learning nptel assignment answers

  3. NPTEL: Introduction to Machine Learning Assignment 2 Answers

    introduction to machine learning nptel assignment answers

  4. NPTEL INTRODUCTION TO MACHINE LEARNING WEEK 9 ASSIGNMENT ANSWERS 2023

    introduction to machine learning nptel assignment answers

  5. NPTEL Introduction to Machine Learning IITM Assignment 2 Answer August

    introduction to machine learning nptel assignment answers

  6. NPTEL INTRODUCTION TO MACHINE LEARNING WEEK 4 ASSIGNMENT ANSWERS

    introduction to machine learning nptel assignment answers

VIDEO

  1. Introduction To Machine Learning Week 2 Assignment NPTEL 2023

  2. Introduction To Machine Learning week 4 assignment 4 #nptel #assignment

  3. introduction to Machine Learning IITKGP week-3 NPTEL 2023 #nptel #machinelearning

  4. NPTEL Introduction to Machine Learning WEEK 4 ASSIGNMENT ANSWERS

  5. NPTEL Introduction To Machine Learning Week 2 Assignment Answers

  6. Introduction To Machine Learning

COMMENTS

  1. PDF noc19 cs52 assignment Week 1

    noc19 cs52 assignment Week 1. swayam NPTEL » Introduction to Machine Learning (IITKGP) Announcements Unit 3 - Week 1 About the Course [email protected] Mentor Ask a Question Progress Course outline How to access the portal Week O Assignment O week 1 Lecture 01 : Introduction Lecture 02 : Different Types of Learning Lecture 03 ...

  2. Balaraman Ravindran

    In this course we intend to introduce some of the basic concepts of machine learning from a mathematically well motivated perspective. We will cover the different learning paradigms and some of the more popular algorithms and architectures used in each of these paradigms. Week 1 - Introduction to Machine Learning & Probability Theory.

  3. NPTEL

    Introduction To Machine LearningABOUT THE COURSE :With the increased availability of data from varied sources there has been increasing attention paid to the...

  4. Introduction To Machine Learning Week 2 Assignment 2 Solution

    #machinelearning #nptel #swayam #python #ml Introduction To Machine Learning All week Assignment Solution - https://www.youtube.com/playlist?list=PL__28a0xFM...

  5. Assignment 1

    Assignment 1 Introduction to Machine Learning Prof. B. Ravindran. Which of the following are supervised learning problems? (multiple may be correct) (a) Learning to drive using a reward signal. (b) Predicting disease from blood sample. (c) Grouping students in the same class based on similar features. (d) Face recognition to unlock your phone. Sol.

  6. NPTEL Introduction to Machine Learning Week 6 Quiz Assignment Solutions

    🔊NPTEL Introduction to Machine Learning Week 6 Quiz Assignment Solutions | Jan 2022 | IIT MadrasWith the increased availability of data from varied sources ...

  7. Introduction to Machine Learning

    In this course we intend to introduce some of the basic concepts of machine learning from a mathematically well motivated perspective. We will cover the different learning paradigms and some of the more popular algorithms and architectures used in each of these paradigms. INTENDED AUDIENCE : This is an elective course.

  8. NPTEL :: Computer Science and Engineering

    NPTEL provides E-learning through online Web and Video courses various streams. Toggle navigation. ... A brief introduction to machine learning: Download Verified; 2: Supervised Learning: Download Verified; 3: ... Introduction to Reinforcement Learning: Download Verified; 84: RL Framework and TD Learning: Download

  9. Introduction To Machine Learning

    ABOUT THE COURSE : This course provides a concise introduction to the fundamental concepts in machine learning and popular machine learning algorithms. We will cover the standard and most popular supervised learning algorithms including linear regression, logistic regression, decision trees, k-nearest neighbour, an introduction to Bayesian learning and the naïve Bayes algorithm, support ...

  10. Introduction to Machine Learning

    Introduction to Machine Learning - Assignment 4 and 6 Reevaluation !! Dear Learner, Submission of all students has been reevaluated by changing the answer for questions: Assignment 4 - Questions 2 and 5 Assignment 6 - Question 6 Students are requested to find their revised scores of Assignments 4 and 6 on the Progress page.-NPTEL Team.

  11. NOC

    Course abstract. With the increased availability of data from varied sources there has been increasing attention paid to the various data driven disciplines such as analytics and machine learning. In this course we intend to introduce some of the basic concepts of machine learning from a mathematically well motivated perspective.

  12. NPTEL Introduction to Machine Learning Assignment 1 Answers 2023

    Answer:- a, d. NPTEL Introduction to Machine Learning Assignment 1 Answers 2022:- In This article, we have provided the answers of Introduction to Machine Learning Assignment 1. Disclaimer :- We do not claim 100% surety of solutions, these solutions are based on our sole expertise, and by using posting these answers we are simply looking to ...

  13. Introduction to Machine Learning NPTEL Week 1 Solutions NPTEL 2023

    This set of MCQ (multiple choice questions) focuses on the Introduction to Machine Learning NPTEL 2023 Week 1 Solutions. With the increased availability of data from varied sources there has been increasing attention paid to the various data driven disciplines such as analytics and machine learning. In this course we intend to introduce some of ...

  14. Introduction to Machine Learning Week 2 Assignment Answers

    #machinelearning #nptel #solutionsIntroduction to Machine LearningIn this video, we're going to unlock the answers to the Introduction to Machine Learning qu...

  15. NPTEL Introduction to Machine Learning Assignment 3 Answers 2023

    NPTEL Introduction to Machine Learning Assignment 3 Answers [July 2022] 1. For linear classification we use: a. A linear function to separate the classes. b. A linear function to model the data. c. A linear loss.

  16. NPTEL Introduction to Machine Learning Assignment 6 Answers 2022

    Average assignment score = 25% of the average of best 8 assignments out of the total 12 assignments given in the course. Exam score = 75% of the proctored certification exam score out of 100. Final score = Average assignment score + Exam score. YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF THE AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE ...

  17. NPTEL Introduction to Machine Learning Assignment 4 Answers 2023

    NPTEL Introduction to Machine Learning Assignment 4 Answers July 2022. 1. Consider the 1-dimensional dataset: State true or false: The dataset becomes linearly separable after using basis expansion with the following basis function ϕ (x)= [1×3]ϕ (x)= [1×3] a. True.

  18. Introduction to Machine Learning (IITM)

    Introduction to Machine Learning (IITM) With the increased availability of data from varied sources there has been increasing attention paid to the various data driven disciplines such as analytics and machine learning. In this course we intend to introduce some of the basic concepts of machine learning from a mathematically well motivated ...

  19. NPTEL Assignment Answers And Solutions Jan-Apr 2024 Progiez

    NPTEL Assignment Answers and solutions of all courses. Week 1,2,3, 4, 5, 6, 7 , 8, 9, 10 ,11, 12 Answers. By Swayam platform. Jan Apr 2024 by progiez

  20. NPTEL: Introduction to Machine Learning Assignment 10 Answers

    NPTEL: Introduction to Machine Learning Assignment 10 Answers | Week 10 Answers |Machine Learning IIT MadrasCourse - Introduction to Machine LearningOrganisa...

  21. Introduction to Machine Learning

    The Solutions of Week 7 to Week 9 for the course "Introduction to Machine Learning" have been released in the portal. Please go through the solution and in case of any doubt post your queries in the forum. ... If you have already submitted the assignment then please recheck the assignment and submit the answers again.-NPTEL Team ...

  22. NPTEL Introduction To Internet Of Things Week 7 Assignment Answers 2024

    Answer :- 7. What is introduced if a controller is down in SDN? a. Back up controller b. Intro controller c. All of these d. None of these. Answer :- Click Here 8.

  23. Introduction to Machine Learning

    There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: April 14, 2023 - Friday. Time: 04.00 PM - 06.00 PM.

  24. Machine Learning, ML

    Welcome to our NPTEL course on "Machine Learning, ML." In this video, we delve into the key takeaways and answers from Week 3 of the course.Join us on this j...

  25. Introduction to IOT Week 8 Assignment Answers

    📌Join this channel to get access to perks:https://www.youtube.com/channel/UCvvEUpqB1AWPB51lW7BhzfQ/joinWelcome to our NPTEL IoT learning journey! In this vi...