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MJPRU Bareilly · B.Tech VII · CSIT · CS-401T · Duda–Hart, Mitchell, Shalev-Shwartz

Machine Learning: End-Sem prep

The 2025-26 end-sem and the mid papers, analysed question by question. Notes for all five units with every numerical solved step by step (k-NN, ID3 entropy, perceptron, LMS, SVM margin), three full mock papers answered the way MJPRU examiners mark, and YouTube lectures for every topic.

Top repeatThree of the four Mid-2 questions came back in the end-sem: MLP, activation functions, gradient descent
49 days to end-sem Tue 15 Dec 2026 Tentative date
End-sem · tentative
Tue 15 Dec 2026 49 days to go
Paper
70 marks · 3 hours Any 5 of 8 questions, 14 marks each
Numerical
k-NN, 14 marks A full question in 2025-26
Heaviest unit
Unit 2 Neural networks and gradient descent

Your progress

Where you stand

Mark a page as done at its bottom. Saved in this browser only. Tap a card to continue.

What MJPRU asks

The topics already asked

Three papers (2025-26 end-sem, Mid-2 2025 and the earlier MCQ mid paper), every question tagged. The bar shows how many of the three asked it.

The pattern. Three of the four Mid-2 questions came back in the end-sem: MLP (as backpropagation in MLPs), activation functions (a short note) and gradient descent (a full 14-mark question). The older mid paper's SVM and overfitting-vs-underfitting questions came back too. Learn the mid questions first. See the full analysis →

Start here

A plan for the days before the exam

Four phases. Do them in order; each card links to the pages it needs.

Phase 1 · Learn the pattern

PYQs and answer style

Phase 2 · Units 2 and 3

The heaviest topics

  • Unit 2: perceptron, LMS, gradient descent, backprop
  • Unit 3: k-NN and ID3 numericals by hand
  • Draw the MLP diagram once

Phase 3 · Units 1, 4, 5

Theory that repeats

  • Unit 1: types of learning, Bayes decision theory
  • Unit 4: bias–variance, approximation vs estimation
  • Unit 5: SVM, kernels, hard vs soft margin

Phase 4 · Write papers

Mocks under a timer

Everything in this kit

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