Lecture 1Course overview

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Lecture 1: What is Machine Learning

Course overview

What is Machine Learning

Categories of Machine Learning

Notation

ML application

ML motivation

Lecture 2: Nearest Neighbor Methods

Lecture 3: Optional Python Overview

Lecture 4: Scientific Computing in Python

Lecture 5: Machine Learning with Scikit-Learn

Lecture 6: Decision Trees

Lecture 7: Ensemble Methods

Lecture 8: Model Evaluation Part 1

Lecture 9: Model Evaluation 2: Confidence Intervals

Lecture 10: Model Evaluation 3

Lecture 11: Model Evaluation Part 4

Lecture 12: Model Evaluation 5: Performance Metrics