scikit-learn Cookbook - Second Edition

Table of Contents

1. Preface
   1. What this book covers
   2. Who this book is for
   3. What you need for this book
   4. Conventions
   5. Reader feedback
   6. Customer support
      1. Downloading the example code
      2. Errata
      3. Piracy
      4. Questions
1. High-Performance Machine Learning – NumPy
   1. Introduction
   2. NumPy basics
      1. How to do it...
         1. The shape and dimension of NumPy arrays
         2. NumPy broadcasting
         3. Initializing NumPy arrays and dtypes
         4. Indexing
         5. Boolean arrays
         6. Arithmetic operations
         7. NaN values
      2. How it works...
   3. Loading the iris dataset
      1. Getting ready
      2. How to do it...
      3. How it works...
   4. Viewing the iris dataset
      1. How to do it...
      2. How it works...
      3. There's more...
   5. Viewing the iris dataset with Pandas
      1. How to do it...
      2. How it works...
   6. Plotting with ...