Diploma in Data Science

MLP — Previous Year Papers

Notes, GA solutions, and PYQs for IITM BS Diploma MLP (Machine Learning Practice) — includes OPPE preparation.

Last updated: April 2026

Available Papers (3)

Quiz 1
Quiz 2
End Term

All files are hosted on Google Drive and open in a new tab. No login required. Use the PYQ page to browse other subjects.

About Machine Learning Practice

MLP is the applied counterpart to the theory courses: building, evaluating and tuning models in code. It is assessed partly through programming under exam conditions, so library fluency matters as much as understanding.

Topics covered

  • Data preparation and feature engineering
  • Training and validation workflows
  • Model evaluation metrics
  • Regression and classification in practice
  • Hyperparameter tuning
  • Pipelines and reproducibility

Where marks go: In a timed programming exam the bottleneck is remembering library syntax, so practise end-to-end on a blank file rather than editing a working notebook.

What is in this collection

One Quiz 1 collection, one Quiz 2 collection and one end term collection.

1 × Quiz 1 collection
Papers from the first quiz of past terms.
1 × Quiz 2 collection
Papers from the second quiz of past terms.
1 × end term collection
Full-length final papers — the closest thing to a mock exam.

Files are hosted on Google Drive and open in a new tab. Nothing here requires an account.

How to use these MLP past papers

  1. 1Sit one MLP paper properly before looking at anything else — timed, closed book, in a single sitting. It is uncomfortable and it is the only part that tells you the truth.
  2. 2Mark it honestly, then list the topics you lost marks on. That list is your revision plan; the paper itself was only the diagnostic.
  3. 3Keep at least one recent paper unopened until the week of the exam, so you have a clean dry run left.
Work out what you need to score with the grade calculator

Common questions

How many previous year papers are available for MLP?

There are 3 items for Machine Learning Practice, an IITM BS Diploma in Data Science level subject. One Quiz 1 collection, one Quiz 2 collection and one end term collection. Everything opens directly, with no account needed.

Are these Machine Learning Practice previous year papers free?

Yes. Everything on EduVerse is free to open and free to download. There is no paywall, no sign-up requirement for the study material, and nothing is held back behind an account.

Do I need to sign in to download MLP previous year papers?

No. The files are hosted on Google Drive and open in a new tab without signing in to EduVerse. Signing in is only needed for features that save things to your own account.

How should I use MLP previous year papers?

Attempt a paper under exam conditions before you look at any solution — timed, closed book, in one sitting. A paper you have read through is worth very little; a paper you have sat tells you exactly which topics you cannot do yet. Save at least one recent paper for the week of the exam.

Do previous year questions repeat in MLP?

Exact questions rarely repeat, but question patterns do — the same topics tend to be examined in the same style and at the same depth. Use past papers to learn the shape of the exam rather than to collect answers.

Are these official IIT Madras previous year papers?

No. EduVerse is an independent, student-run site and is not affiliated with, endorsed by, or officially connected to IIT Madras. Where anything here disagrees with the official course material or the institute's own announcements, the institute is right.

Is this MLP material current for my term?

This collection was last revised in April 2026. Syllabi and assessment patterns change between terms, so check the topic list on this page against your own course page before relying on it. If something is out of date, tell us and we will update or remove it.

A MLP file will not open — what should I do?

The files live on Google Drive, and sharing permissions occasionally change or a file gets moved. Report it on the contact page with the page address and we will re-point or replace the link. Broken links get looked at before anything else.

Can I contribute MLP previous year papers?

Yes, and it is how the library grows. Use the submit page to send a file or a link. Contributions are reviewed before they are published, and material you do not have the right to share will not be accepted.

Still stuck? Ask us — or send material if you have something this page is missing.