scikit-learn Cookbook , Second Edition

Table of Contents

1. High-Performance Machine Learning: Numpy
2. Premodel Workflow & Preprocessing
3. Dimensionality Reduction
4. Linear Models with scikit-learn
5. Linear Models: Logistic Regression
6. Building Models with Distance Metrics
7. Cross-Validation & Post Model Workflow
8. Support Vector Machines
9. Tree Algorithms and Ensembles
10. Text and Multi-Class Classification with scikit-learn
11. Neural Networks
12. Create a Simple Estimator