In each of the problem sets, I explore the following topics in machine learning:
Pset1: Basic concepts in machine learning
Pset2: Bias, Variance, Cross-Validation
Pset3 : Hyperparameter Search, Feature Engineering, and Feature Selection
Pset4: Support Vector Machines
Pset5: Training a logistic classifier