Python Machine Learning Cookbook
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Chapter 1. The Realm of Supervised Learning

In this chapter, we will cover the following recipes:

  • Preprocessing data using different techniques
  • Label encoding
  • Building a linear regressor
  • Computing regression accuracy
  • Achieving model persistence
  • Building a ridge regressor
  • Building a polynomial regressor
  • Estimating housing prices
  • Computing the relative importance of features
  • Estimating bicycle demand distribution