May 2020
Intermediate to advanced
404 pages
10h 52m
English
Content preview from Hands-On Python Deep Learning for the Web
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Step 1 – Importing the necessary modules
We begin by importing the required libraries:
import pandas as pdimport numpy as npfrom sklearn.model_selection import train_test_splitnp.random.seed(5)
We have imported the pandas and numpy modules. Along with these, we have imported the train_test_split method from the scikit-learn library to help us quickly split the dataset into training and testing parts.
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