Learning from Data

Practice

One question at a time — check your answer, then see explanation, reference, and slides.

By exam

2021-midterm
Full exam flow
2022-midterm
Full exam flow
2025-midterm
Full exam flow

By topic

Chapter 1: Introduction to Machine Learning
18 questions
Chapter 2: Data Exploration & Preparation
10 questions
Chapter 3: Model Selection & Evaluation
18 questions
Sheet 2: Data Exploration & Box Plots
4 questions
Sheet 3: Evaluation Metrics & Clustering
7 questions
Sheet 4: Feature Engineering
8 questions
Older Syllabus: Neural Networks, RBF & SVM
23 questions
Repetitive questions only
1 repeated stem across exams