Apache Spark Deep Learning Cookbook

How it works...

1. Install the necessary libraries for this chapter using the following code:

import numpy as npimport pandas as pdimport matplotlib.pyplot as pltimport seaborn as snsimport mpl_toolkitsfrom sklearn import preprocessingfrom sklearn.preprocessing import LabelEncoder, OneHotEncoderfrom sklearn.feature_selection import RFEfrom sklearn import linear_modelfrom sklearn.cross_validation import train_test_split %matplotlib inline

2. The preceding step should result in an output, as shown in the following screenshot:

3. It is always a good idea to check the current working directory and set it to the directory in which the dataset is ...