Machine Learning with scikit-learn

Table of Contents:
– Introduction 
– Lesson 1: What is Machine Learning? 
– Lesson 2: Exploring a Data Set 
– Lesson 3: Classification 
– Lesson 4: Regression 
– Lesson 5: Clustering 
– Lesson 6: Hyperparameters 
– Lesson 7: Feature Engineering and Feature Selection 
– Lesson 8: Pipelines 
– Lesson 9: Robust Train / Test Splits 
– Summary