Python Machine Learning Cookbook - Second Edition

How to do it...

Let's see how to estimate housing prices in Python:

1. Create a new file called housing.py and add the following lines:

import numpy as npfrom sklearn.tree import DecisionTreeRegressorfrom sklearn.ensemble import AdaBoostRegressorfrom sklearn import datasetsfrom sklearn.metrics import mean_squared_error, explained_variance_scorefrom sklearn.utils import shuffleimport matplotlib.pyplot as plt

2. There is a standard housing dataset that people tend to use to get started with machine learning. You can download it at https://archive.ics.uci.edu/ml/machine-learning-databases/housing/. We will be using a slightly modified version of the dataset, which has been provided along with the code files. The good thing is that scikit-learn ...