Ebook: Machine learning pocket reference: working with structured data in Python

Introduction -- Overview of the machine learning process -- Classification walkthrough : titanic dataset -- Missing data -- Cleaning data -- Exploring -- Preprocess data -- Feature selection -- Imbalanced classes -- Classification -- Model selection -- Metrics and classification evaluation -- Explaining models -- Regression -- Metrics and regression evaluation -- Explaining regression models -- Dimensionality reduction -- Clustering -- Pipelines.