nptel machine learning assignment 2 solutions

• _Previous Year Question
• Spoken Tutorial
• _CCNAv7: Introduction to Networks
• _Introduction to Cyber Security
• _India_Internship_SIT_Introduction to Packet Tracer
• Internship & Placement
• _Internship

Nptel Introduction To Machine Learning Assignment 2 Solution

 The parameters obtained in linear regression

 can take any value in the real space

 are strictly integers

 always lie in the range [0,1]

 can take only non-zero values

Suppose that we have N  independent variables (X1,X2,...Xn ) and the dependent variable is Y  . Now imagine that you are applying linear regression by fitting the best fit line using the least square error on this data. You found that the correlation coefficient for one of its variables (Say X1 ) with Y  is -0.005.

Regressing Y on X1 mostly does not explain away Y

 Regressing Y  on X1 explains away Y

 The given data is insufficient to determine if regressing Y on X1 explains away Y or not.

Which of the following is a limitation of subset selection methods in regression?

 They tend to produce biased estimates of the regression coefficients.

 They cannot handle datasets with missing values.

 They are computationally expensive for large datasets.

 They assume a linear relationship between the independent and dependent variables.

 They are not suitable for datasets with categorical predictors.

The relation between studying time (in hours) and grade on the final examination (0-100) in a random sample of students in the Introduction to Machine Learning Class was found to be:Grade = 30.5 + 15.2 (h)

How will a student’s grade be affected if she studies for four hours?

 It will go down by 30.4 points.

 It will go up by 60.8 points.

 The grade will remain unchanged.

 It cannot be determined from the information given

Which of the statements is/are True?

 Ridge has sparsity constraint, and it will drive coefficients with low values to 0.

 Lasso has a closed form solution for the optimization problem, but this is not the case for Ridge.

 Ridge regression does not reduce the number of variables since it never leads a coefficient to zero but only minimizes it.

 If there are two or more highly collinear variables, Lasso will select one of them randomly

Find the mean of squared error for the given predictions:

Hint: Find the squared error for each prediction and take the mean of that.

Consider the following statements: Statement A: In Forward stepwise selection, in each step, that variable is chosen which has the maximum correlation with the residual, then the residual is regressed on that variable, and it is added to the predictor. Statement B: In Forward stagewise selection, the variables are added one by one to the previously selected variables to produce the best fit till then

 Both the statements are True.

 Statement A is True, and Statement B is False

 Statement A is False and Statement B is True

 Both the statements are False.

The linear regression model y=a0+a1x1+a2x2+...+apxp  is to be fitted to a set of N training data points having p attributes each. Let X be N×(p+1) vectors of input values (augmented by 1‘s), Y be N×1 vector of target values, and θ  be (p+1)×1 vector of parameter values (a0,a1,a2,...,ap). If the sum squared error is minimized for obtaining the optimal regression model, which of the following equation holds?

Which of the following statements is true regarding partial least squares (pls) regression.

 PLS is a dimensionality reduction technique that maximizes the covariance between the predictors and the dependent variable.

 PLS is only applicable when there is no multicollinearity among the independent variables.

 PLS can handle situations where the number of predictors is larger than the number of observations.

 PLS estimates the regression coefficients by minimizing the residual sum of squares.

 PLS is based on the assumption of normally distributed residuals.

 All of the above.

 None of the above.

Which of the following statements about principal components in Principal Component Regression (PCR) is true?

 Principal components are calculated based on the correlation matrix of the original predictors.

 The first principal component explains the largest proportion of the variation in the dependent variable.

 Principal components are linear combinations of the original predictors that are uncorrelated with each other.

 PCR selects the principal components with the highest p-values for inclusion in the regression model.

 PCR always results in a lower model complexity compared to ordinary least squares regression.

Conclusion: #cryptograph, #nptel, #swayam, Data Analytics with Python, nptel, data science, data analytics, swyam, python for data science, Introduction To Machine Learning, Introduction to machine learning week 2 assignment solution, machine learning week 2 assignment solution, introduction to machine learning week 2 quiz answer, ML week 2 assignment answer

week 3 answers

Our website uses cookies to improve your experience. Learn more

Contact Form

• Amazon Quiz
• Flipkart Quiz
• Play & Win 50,000 Coins
• Privacy Policy

NPTEL Introduction to Machine Learning Assignment 2 Answers 2023

• by QuizXp Team
• February 8, 2023 February 8, 2023

NPTEL Introduction to Machine Learning Assignment 2 Answers 2023? This article will help you with the answer to the  Nation al Programme on Technology Enhanced Learning  ( NPTEL )  Course “ Introduction to Machine Learning Assignment 2 “

Below you can find the answers for Introduction to Machine Learning Assignment 2 Answers 2023

NPTEL Introduction to Machine Learning Assignment 2 Answers 2023:-

Q1. Given a training data set of 10,000 instances, with each input instance having 17 dimensions and each output instance having 2 dimensions, the dimensions of the design matrix used in applying linear regression to this data is

For week 1 Answers:- Click Here

Q2. Suppose we want to add a regularizer to the linear regression loss function, to control the magnitudes of the weights β . We have a choice between Ω1(β)=Σpi=1|β| and Ω2(β)=Σpi=1β2 Which one is more likely to result in sparse weights?

Q3. The model obtained by applying linear regression on the identified subset of features may differ from the model obtained at the end of the process of identifying the subset during

Q4. Consider forward selection, backward selection and best subset selection with respect to the same data set. Which of the following is true?

Next Week Answers: Assignment 03

Q5. In the lecture on Multivariate Regression, you learn about using orthogonalization iteratively to obtain regression co-effecients. This method is generally referred to as Multiple Regression using Successive Orthogonalization. In the formulation of the method, we observe that in iteration k , we regress the entire dataset on z0,z1,…zk−1 . It seems like a waste of computation to recompute the coefficients for z0 a total of p times, z1 a total of p−1 times and so on. Can we re-use the coefficients computed in iteration j for iteration j+1 for zj−1 ?

Q6. Principal Component Regression (PCR) is an approach to find an orthogonal set of basis vectors which can then be used to reduce the dimension of the input. Which of the following matrices contains the principal component directions as its columns (follow notation from the lecture video)

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

Q7. We want to learn a function f(x) of the form f(x)=ax+b which is parameterised by (a,b) . Using squared error as the loss function, which of the following parameters would you use to model this function to get a solution with the minimum loss.

Q8. Let us build a nearest neighbours classifier that will predict which language a word belongs to. Say we represent each word using the following features.

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.

Navigation Menu

Search code, repositories, users, issues, pull requests..., provide feedback.

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly.

To see all available qualifiers, see our documentation .

nptel-assignments

Here are 63 public repositories matching this topic..., kishanrajput23 / nptel-the-joy-of-computing-using-python.

Study materials related to this course.

• Updated Oct 27, 2023

souraavv / NPTEL-DAA-Programming-Assignment-Solutions

Programming assignments of NPTEL DAA course taken by Prof. Madhavan Mukund of Chennai Mathematical Institute.

• Updated Dec 8, 2022

kishanrajput23 / NPTEL-Programming-In-java

• Updated Apr 14, 2022

omunite215 / NPTEL-Programming-in-Java-Ultimate-Guide

I am sharing my journey of studying a course on Programming in Java taught by Prof.Debasis Samanta Sir IIT Kharagpur

• Updated Dec 4, 2023

kadeep47 / NPTEL-Getting-Started-With-Competitive-Programming

[Aug - Oct 2023] Solutions for NPTEL Course Getting started with competitive programming weekly assignment.

• Updated Sep 6, 2023

Md-Awaf / NPTEL-Course-Getting-started-with-Competitive-Programming

Solutions for NPTEL Course Getting started with competitive programming weekly assignment.

• Updated Apr 20, 2023

rvutd / NPTEL-Joy-of-Computing-2020

Programming Assignment Solutions

• Updated May 5, 2020

roopeshsn / embedded-system-design-nptel

Embedded System Design Course Materials - NPTEL

• Updated May 6, 2022

guru-shreyansh / NPTEL-Programming-in-Java

The sole intention behind this repository is to help the beginners in Java with the course contents.

• Updated Aug 1, 2021

gunjanmimo / NPTEL-The-Joy-of-Computing-using-Python

• Updated Jan 26, 2020

avinashyadav16 / The-Joy-of-Computing-Using-Pyhton

12 Weeks long NPTEL Elective MOOC Course's codes, assignments and solutions.

• Updated Oct 30, 2023
• Jupyter Notebook

AdishiSood / The-Joy-of-Computing-using-Python

• Updated Apr 28, 2021

gxuxhxm / NPTEL-The-Joy-of-Computing-using-Python

NPTEL-The-Joy-of-Computing-using-Python with NOTES and Weekly quizes Answers

• Updated Dec 31, 2023

NPTEL-Course / Programming-Data-Structures-And-Algorithms-Using-Python

Nptel Course Solutions : Programming, Data Structures And Algorithms Using Python

• Updated Nov 30, 2020

ShishiraB / Programming-Data-Structures-And-Algorithms-Using-Python

This is a repository where i have tried to give explaination

• Updated Mar 1, 2023

Rahulnisanth / Python-ZTM-Hub

Complete python repository from zero to mastery experience

• Updated May 5, 2024

NPTEL-Course / Google-Cloud-Computing-Foundations

Nptel Course Solution : Google Cloud Computing Foundations

• Updated Nov 19, 2020

code-reaper08 / NPTEL-Practice-Repo

Practice repo for NPTEL 📚 Programming, Data Structures and Algorithms.

• Updated Aug 27, 2021

lonebots / python-programming-joc-nptel

Python programming repository for NPTEL joy of computing course

• Updated Dec 21, 2020

CGreenP / NPTEL-Introduction-to-Programming-in-C-Assignment-4-Question-1

NPTEL Introduction to Programming in C Assignment 4 Question 1

• Updated Apr 2, 2024

Improve this page

Add a description, image, and links to the nptel-assignments topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the nptel-assignments topic, visit your repo's landing page and select "manage topics."

Category: NPTEL

Programming in modern c++ | week 12, introduction to internet of things week 12, introduction to industry 4.0 and industrial internet of things | week 12, an introduction to artificial intelligence | week 12, the joy of computing using python | week 12, quantum mechanics 1 | week 12, programming in java | week 12, principles of management | week 12, leadership and team effectiveness | week 12, introduction to machine learning | week 12.

• Review Assignment
• Announcements
• About the Course
• Explore Courses

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

Dear Candidate, Here is a golden opportunity for those who had previously enrolled in this course, but could not participate in the exams or were absent/did not pass the exam for this course. This course is being reoffered in Jan 2023 and we are giving you another chance to write the exam in April 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: April 30,2023 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 the exam will be conducted:  Exam Cities 4. You DO NOT have to re-enroll in the courses if you have enough assignment scores in the previous immediate semester when the course was run to obtain a certificate.  5. You DO NOT have to resubmit Assignments in the previous semester if you have enough assignment scores in the previous immediate semester when the course was run to obtain a certificate.  6. If you do enroll to Jan 2023 course, we will take the best average assignment scores across this  semester & the immediate previous semester when the course was run.     NOTE:   Please check once if you have >= 40/100  in average assignment score that were conducted in this course to become eligible for the e-certificate, wherever applicable. If not, please submit assignments again in the Jan 2023 course to become eligible for the e-certificate. We will not be having new assignments in the previous semester's course. It is mandatory to enroll again in the Jan 2023 semester if you want to receive the fresh assignments of this current Jan 2023 semester. You can also submit assignments again if you want to take fresh assignments or need to improve your previous scores.   RECOMMENDATION: If you want to take new assignments or brush up on your lessons for the exam, please enroll in the Jan 2023 course.   LINK to enroll in the current course:    https://onlinecourses.nptel.ac.in/noc23_cs18/preview   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:    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.      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 if you are registering for the exam with the same email ID.     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: -    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.    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   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,  NPTEL TEAM

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!!

Dear Candidate, The exam scores and E Certificates have been released for October 2022 Exam(s). Step 1 - Are the results of my courses released? Please check the Results published courses list in the below links.:- October 2022 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 2022, irrespective of which Assignment score that will be considered. Thanks and Best wishes. NPTEL Team

Introduction to Machine Learning : Final Feedback Form!!

Dear student, 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/1kk_7r6xggVJ13gmU5keRHAMxE9GBlH7IpVtLV8kLXCk/viewform We thank you for your valuable time and feedback. Thanks & Regards, -NPTEL Team

October 2022 NPTEL Exams - Hall Tickets Released!

***THIS IS APPLICABLE ONLY FOR EXAM REGISTERED CANDIDATES*** Dear Candidate, Your Hall Ticket / admit card for the NPTEL Exam(s) in October, 2022 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 12 Solutions Released!!

Dear Learners, The Solutions of Week 12   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. Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=122&lesson=127 Happy Learning! Thanks & Regards, 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: October 18, 2022 - Tuesday Time: 06.00 PM - 07.00 PM Link to join:  https://meet.google.com/ngh-yrit-xhj Session 2: Date: October 18, 2022 - Tuesday Time: 07.00 PM - 08.00 PM Link to join:  https://meet.google.com/mjx-bxaa-etw 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: October 15, 2022 - Saturday Time: 03.00 PM - 04.00 PM Link to join:  meet.google.com/axm-qobw-xfs Session 2: Date: October 15, 2022 - Saturday Time: 04.00 PM - 05.00 PM Link to join:  meet.google.com/cqc-exiz-ehy Happy Learning. -NPTEL Team

Introduction to Machine Learning - Assignment 10 and 11 Solutions Released!!

Dear Learners, The Solutions of Week 10 and Week 11   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. Assignment 10 Solution Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=108&lesson=115 Assignment 11 Solution Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=116&lesson=121 Happy Learning! Thanks & Regards, NPTEL Team

Exam Format - Oct 29, 2022

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. -NPTEL Team

Introduction to Machine Learning : Week 12 Feedback Form is live now !!

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/11GWqQ4vAjllEU2XkMjZqg3xnEGTk_ssnvpnK8ms_9fU/viewform 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: October 11, 2022 - Tuesday Time: 06.00 PM - 07.00 PM Link to join:  https://meet.google.com/ngh-yrit-xhj Session 2: Date: October 11, 2022 - Tuesday Time: 07.00 PM - 08.00 PM Link to join:  https://meet.google.com/mjx-bxaa-etw 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/noc22_cs73/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-12 for Week 12 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=122&assessment=145 Assignment-12 for Week 12  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=122&assessment=176 The assignment has to be submitted on or before Wednesday,[19/10/2022], 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: October 08, 2022 - Saturday Time: 03.00 PM - 04.00 PM Link to join:  meet.google.com/axm-qobw-xfs Session 2: Date: October 08, 2022 - Saturday Time: 04.00 PM - 05.00 PM Link to join:  meet.google.com/cqc-exiz-ehy Happy Learning. -NPTEL Team

Introduction to Machine Learning : Week 11 Feedback Form is live now !!

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: October 04, 2022 - Tuesday Time: 06.00 PM - 07.00 PM Link to join:  https://meet.google.com/ngh-yrit-xhj Session 2: Date: October 04, 2022 - Tuesday Time: 07.00 PM - 08.00 PM Link to join:  https://meet.google.com/mjx-bxaa-etw 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: October 01, 2022 - Saturday Time: 03.00 PM - 04.00 PM Link to join:  meet.google.com/axm-qobw-xfs Session 2: Date: October 01, 2022 - Saturday Time: 04.00 PM - 05.00 PM Link to join:  meet.google.com/cqc-exiz-ehy 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/noc22_cs73/unit?unit=116&lesson=117 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/noc22_cs73/unit?unit=116&assessment=144 Assignment-11 for Week 11 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=116&assessment=175 The assignment has to be submitted on or before Wednesday,[12/10/2022], 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 7 to 9 Solutions Released!!

Dear Learners, 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. Assignment 7 Solution Link:   https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=82&lesson=91 Assignment 8 Solution Link:   https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=92&lesson=99 Assignment 9 Solution Link:   https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=100&lesson=106 Happy Learning! Thanks & 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: September 27, 2022 - Tuesday Time: 06.00 PM - 07.00 PM Link to join:  https://meet.google.com/ngh-yrit-xhj Session 2: Date: September 27, 2022 - Tuesday Time: 07.00 PM - 08.00 PM Link to join:  https://meet.google.com/mjx-bxaa-etw Happy Learning. -NPTEL Team

Introduction to Machine Learning : Week 10 Feedback Form is live now !!

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/noc22_cs73/unit?unit=108&lesson=109 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/noc22_cs73/unit?unit=108&assessment=143 Assignment-10 for Week 10  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=108&assessment=174 The assignment has to be submitted on or before Wednesday,[05/10/2022], 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: September 24, 2022 - Saturday Time: 03.00 PM - 04.00 PM Link to join:  meet.google.com/axm-qobw-xfs Session 2: Date: September 24, 2022 - Saturday Time: 04.00 PM - 05.00 PM Link to join:  meet.google.com/cqc-exiz-ehy 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: September 20, 2022 - Tuesday Time: 06.00 PM - 07.00 PM Link to join:  https://meet.google.com/ngh-yrit-xhj Session 2: Date: September 20, 2022 - Tuesday Time: 07.00 PM - 08.00 PM Link to join:  https://meet.google.com/mjx-bxaa-etw Happy Learning. -NPTEL Team

Introduction to Machine Learning : Week 9 Feedback Form is live now !!

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/noc22_cs73/unit?unit=100&lesson=101 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/noc22_cs73/unit?unit=100&assessment=142 Assignment-9 for Week 9  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=100&assessment=173 The assignment has to be submitted on or before Wednesday,[28/09/2022], 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: September 18, 2022 - Sunday Time: 03.00 PM - 04.00 PM Link to join:  meet.google.com/axm-qobw-xfs 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: September 17, 2022 - Saturday Time: 04.00 PM - 05.00 PM Link to join:  meet.google.com/cqc-exiz-ehy 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: September 13, 2022 - Tuesday Time: 06.00 PM - 07.00 PM Link to join:  https://meet.google.com/ngh-yrit-xhj Session 2: Date: September 13, 2022 - Tuesday Time: 07.00 PM - 08.00 PM Link to join:  https://meet.google.com/mjx-bxaa-etw Happy Learning. -NPTEL Team

Introduction to Machine Learning : Week 8 Feedback Form is live now !!

Survey on problem solving sessions - introduction to machine learning( noc22-cs73 ).

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/1IQBEYiNLB9LV8ch7KbSWTiZ3-EyXu3zAEwM1YuYY7aw/viewform - 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/noc22_cs73/unit?unit=92&lesson=93 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/noc22_cs73/unit?unit=92&assessment=141 Assignment-8 for Week 8  is also released and can be accessed from the following link Link: https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=92&assessment=172 The assignment has to be submitted on or before Wednesday,[21/09/2022], 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: September 10, 2022 - Saturday Time: 03.00 PM - 04.00 PM Link to join:  meet.google.com/axm-qobw-xfs Session 2: Date: September 10, 2022 - Saturday Time: 04.00 PM - 05.00 PM Link to join:  meet.google.com/cqc-exiz-ehy Happy Learning. -NPTEL Team

Introduction to Machine Learning - Assignment 6 Solutions Released!!

Dear Learners, The Solutions of Week 6   for the course " Introduction to Machine Learning6Solution Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=70&lesson=81 Happy Learning! Thanks & Regards, NPTEL Team

Introduction to Machine Learning : Week 7 Feedback Form is live now !!

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: September 06, 2022 - Tuesday Time: 06.00 PM - 07.00 PM Link to join:  https://meet.google.com/ngh-yrit-xhj Session 2: Date: September 06, 2022 - Tuesday Time: 07.00 PM - 08.00 PM Link to join:  https://meet.google.com/mjx-bxaa-etw 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/noc22_cs73/unit?unit=82&lesson=83 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/noc22_cs73/unit?unit=82&assessment=140 Assignment-7 for Week 7  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=82&assessment=169 The assignment has to be submitted on or before Wednesday,[14/09/2022], 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: September 03, 2022 - Saturday Time: 03.00 PM - 04.00 PM Link to join:  meet.google.com/axm-qobw-xfs Session 2: Date: September 03, 2022 - Saturday Time: 04.00 PM - 05.00 PM Link to join:  meet.google.com/cqc-exiz-ehy 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/noc22_cs73/unit?unit=70&lesson=71 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/noc22_cs73/unit?unit=70&assessment=139 Assignment-6 for Week 6 is also released and can be accessed from the following link Link: https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=70&assessment=168 The assignment has to be submitted on or before Wednesday,[07/09/2022], 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 6 Feedback Form is live now !!

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: August 30, 2022 - Tuesday Time: 06.00 PM - 07.00 PM Link to join:  https://meet.google.com/ngh-yrit-xhj Session 2: Date: August 30, 2022 - Tuesday Time: 07.00 PM - 08.00 PM Link to join:  https://meet.google.com/mjx-bxaa-etw 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: August 27, 2022 - Saturday Time: 03.00 PM - 04.00 PM Link to join:  meet.google.com/axm-qobw-xfs Session 2: Date: August 27, 2022 - Saturday Time: 04.00 PM - 05.00 PM Link to join:  meet.google.com/cqc-exiz-ehy 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: August 23, 2022 - Tuesday Time: 06.00 PM - 07.00 PM Link to join:  https://meet.google.com/ngh-yrit-xhj Session 2: Date: August 23, 2022 - Tuesday Time: 07.00 PM - 08.00 PM Link to join:  https://meet.google.com/mjx-bxaa-etw Happy Learning. -NPTEL Team

Introduction to Machine Learning : Week 5 Feedback Form is live now !!

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: August 20, 2022 - Saturday Time: 03.00 PM - 04.00 PM Link to join:  meet.google.com/axm-qobw-xfs Session 2: Date: August 20, 2022 - Saturday Time: 04.00 PM - 05.00 PM Link to join:  meet.google.com/cqc-exiz-ehy Happy Learning. -NPTEL Team

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/noc22_cs73/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/noc22_cs73/unit?unit=60&assessment=138 Assignment-5 for Week 5 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=60&assessment=167 The assignment has to be submitted on or before Wednesday,[31/08/2022], 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 4 Feedback Form is live now !!

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: August 16, 2022 - Tuesday Time: 06.00 PM - 07.00 PM Link to join:  https://meet.google.com/ngh-yrit-xhj Session 2: Date: August 16, 2022 - Tuesday Time: 07.00 PM - 08.00 PM Link to join:  https://meet.google.com/mjx-bxaa-etw 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: August 13, 2022-Saturday Time: 04.00 PM - 05.00 PM Link to join:  meet.google.com/cqc-exiz-ehy 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: August 13, 2022-Saturday Time: 03.00 PM - 04.00 PM Link to join:  meet.google.com/axm-qobw-xfs Happy Learning. -NPTEL Team

Introduction to Machine Learning : Week 4 Assignment Correction!

Dear Learners, Find the following updates in questions for the Week 4 assignment: For Q6,7: Kindly download the modified version of Iris dataset from this link. Available at: ( https://goo.gl/vchhsd ) The dataset contains 150 points, and each input point has 4 features and belongs to one among three classes. Use the first 100 points as the training data and the remaining 50 as test data. In the following questions, to report accuracy, use the test dataset. You can round off the accuracy value to the nearest 2-decimal point number. ( Note: Do not change the order of data points.) Note: If you have already submitted the assignment then please recheck the assignment and submit the answers again. -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: August 13, 2022 - Saturday Time: 03.00 PM - 04.00 PM Link to join:  meet.google.com/axm-qobw-xfs Session 2: Date: August 13, 2022 - Saturday Time: 04.00 PM - 05.00 PM Link to join:  meet.google.com/cqc-exiz-ehy 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/noc22_cs73/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/noc22_cs73/unit?unit=51&assessment=146 Assignment-4 for Week 4 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=51&assessment=166 The assignment has to be submitted on or before Wednesday,[24/08/2022], 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 3 Feedback Form is live now !!

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: August 9, 2022 - Tuesday Time: 06.00 PM - 07.00 PM Link to join:  https://meet.google.com/ngh-yrit-xhj Session 2: Date: August 9, 2022 - Tuesday Time: 07.00 PM - 08.00 PM Link to join:  https://meet.google.com/mjx-bxaa-etw Happy Learning. -NPTEL Team

Introduction to Machine Learning: Reminder for Assignment 1 & 2 deadline!!

Dear Learners, The Deadline for Assignments 1 & 2 will close on Wednesday,[10/08/2022], 23:59 IST. Kindly submit the assignments before the deadline. 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: August 6, 2022-Saturday Time: 04.00 PM - 05.00 PM Link to join:  meet.google.com/cqc-exiz-ehy 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: August 6, 2022-Saturday Time: 03.00 PM - 04.00 PM Link to join:  meet.google.com/axm-qobw-xfs 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/noc22_cs73/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/noc22_cs73/unit?unit=42&assessment=147 Assignment-3 for Week 3 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=42&assessment=165 The assignment has to be submitted on or before Wednesday,[17/08/2022], 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 2 Feedback Form is live now !!

Introduction to machine learning : problem solving session.

Dear Learner, We have uploaded the Recorded videos of the 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

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: August 2, 2022 - Tuesday Time: 06.00 PM - 07.00 PM Link to join:  https://meet.google.com/ngh-yrit-xhj 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: August 2, 2022 - Tuesday Time: 07.00 PM - 08.00 PM Link to join:  https://meet.google.com/mjx-bxaa-etw 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: July 30, 2022-Saturday Time: 03.00 PM - 04.00 PM Link to join:  meet.google.com/axm-qobw-xfs 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: July 30, 2022-Saturday Time: 04.00 PM - 05.00 PM Link to join:  meet.google.com/cqc-exiz-ehy Happy Learning. -NPTEL Team

Introduction to Machine Learning : Problem solving Session

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. Start Date:   July 30, 2022 When: EverySaturday Time: 03.00 PM - 04.00 PM Link to join:   meet.google.com/axm-qobw-xfs Thank you. -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. Start Date:   August 2, 2022 When: EveryTuesday Time: 06.00 PM - 07.00 PM Link to join:   https://meet.google.com/ngh-yrit-xhj Thank you. -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. Start Date:   August 2, 2022 When: EveryTuesday Time: 07.00 PM - 08.00 PM Link to join:   https://meet.google.com/mjx-bxaa-etw Thank you. -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. Start Date:   July 30, 2022 When: EverySaturday Time: 04.00 PM - 05.00 PM Link to join:   meet.google.com/cqc-exiz-ehy Thank you. -NPTEL team

Introduction to Machine Learning : Week 1 Feedback Form

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:   Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/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/noc22_cs73/unit?unit=22&assessment=136 Assignment-1 for Week 1 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=22&assessment=160 The assignment has to be submitted on or before Wednesday,[10/08/2022], 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 0 is live now!!

Dear Learners, We welcome you all to the 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/noc22_cs73/unit?unit=16&assessment=135 Please note that this assignment is only for practice and it will not be graded. Thanks & 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/noc22_ee121/unit?unit=16&lesson=45   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 and Regards,   -NPTEL Team

NPTEL: Exam Registration is open now for July 2022 courses!

Dear Learner, 

Here is the much-awaited announcement on registering for the July 2022 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: Oct 29, 2022

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 Sep 12, 2022, 10:00 AM, Exam fees will be Rs. 1000/- per exam . 

If you register for exam before Sep 12, 2022, 10:00 AM and have not paid or if you register between Sep 12, 2022, 10:00 AM & Sep 16, 2022, 10:00 AM, Exam fees will be Rs. 1500/- per exam 

5. 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. 

6. Last date for exam registration: Sep 16, 2022, 10:00 AM (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: Sep 16, 2022, 10:00 AM :  

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: - 

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. 

11. LAST DATE FOR CANCELLING EXAMS and getting a refund: Sep 16, 2022, 10:00 AM  

12. 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, 

Introduction to Machine Learning: Welcome to NPTEL Online Course - July 2022!!

• 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: October 29, 2022 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

In association with