LECTURES

Lecture Topic Date Materials
1 Introduction March 5, 2025 Slides, Notes, Notes code
2 Introduction to Python and NumPy March 7, 2025 Code
3 Feature Reduction: PCA + Exercise March 12, 2025 Slides, Notes, Notes code, Exercise, Solution
4 Linear Regression March 14, 2025 Slides, Notes, Notes code
5 Linear Regression Exercise March 19, 2025 Exercise, Solution
6 Classifiers: Part 1 March 21, 2025 Slides, Notes
7 Classifiers: Part 2 March 24, 2025  
8 Classifier Exercise March 28, 2025 Exercise, Solution
9 Clustering April 4, 2025 Slides, Notes
10 Clustering Exercise April 7, 2025 Exercise, Solution
11 Decision trees and Ensemble Methods April 11, 2025 Slides, Notes
12 Ensemble Methods Exercise April 18, 2025 Exercise, Solution
13 Introduction to PyTorch April 28, 2025 Code
14 Neural Networks: part 1 May 5, 2025 Slides, Notes
15 Neural Networks: part 2 May 12, 2025  
16 Neural Networks Exercise May 16, 2025 Exercise, Solution
17 CNN: Part 1 May 19, 2025 Slides
18 CNN Part 2 May 23, 2025  
19 CNN: Practical class May 26, 2025 Exercise,Solution
20 CNN: Exercise May 30, 2025 Data
21 CNN: XAI and Captum Jun 9, 2025 Slides, Code