L01: What is Machine Learning

L02: Nearest Neighbor Methods

L03: Python Programming

L04: Scientific Computing in Python

L05: Machine Learning with Scikit-Learn

L06: Decision Trees

L07: Ensemble Methods

L08: Model Evaluation Part 1 – Basics: Underfitting & Overfitting

L09: Model Evaluation Part 2 – Resampling Methods

L10: Model Evaluation Part 3 – Cross Validation

L11: Model Evaluation Part 4 – Statistical Tests and Algorithm Selection

L12: Model Evaluation Part 5 – Evaluation Metrics