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Course Overview
PRELIMINARY
Getting Started
About Python
Setting up Your Python Environment
An Introductory Example
Learn More
Exercises
LAB MATERIALS
Introduction to Regression
Maximum Likelihood Estimation
Penalized Regression
Bayesian Linear Regression
Introduction to Classification
Logistic Regression
Decision Trees, Random Forests & Support Vector Machines
Ensemble Learning
Gaussian Process Regression
Index
