My problem sets for CSM146 with Professor Sriram Sankararaman in Winter 2024.
| Problem Set | Grade | Topics Covered |
|---|---|---|
| 1 | 84/85 | Decision Trees K-nearest Neighbors Entropy |
| 2 | 47/47 | Perceptrons Logistic Regression Maximum Likelihood Estimation Polynomial Regression |
| 3 | 63/64 | Kernels Support Vector Machines Neural Networks |
| 4 | 59.5/60 | AdaBoost Clustering Gaussian Mixture Models Principal Component Analysis |