TensorFlow Machine Learning Cookbook - Second Edition

How to do it...

For this example, we will start by getting the data, normalizing and splitting the text, running it through an embedding function, and training the logistic function to predict spam:

1. The first task will be to import the necessary libraries for this task. Among the usual libraries, we will need a .zip file library to unzip the data from the UCI machine learning website we retrieve it from:

import tensorflow as tf 
import matplotlib.pyplot as plt 
import os 
import numpy as np 
import csv 
import string 
import requests 
import io 
from zipfile import ZipFile 
from tensorflow.contrib import learn 
sess = tf.Session() 

2. Instead of downloading the text data every time the script is run, we will save it and check if the file has been saved ...