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Python Feature Engineering Cookbook
book

Python Feature Engineering Cookbook

by Soledad Galli
January 2020
Beginner to intermediate
372 pages
10h
English
Packt Publishing
Content preview from Python Feature Engineering Cookbook

How to do it...

First, let's import the necessary Python libraries:

  1. Load the libraries that are required for this recipe:
import pandas as pdimport matplotlib.pyplot as plt
  1. Load the Titanic dataset and inspect the variable types:
data = pd.read_csv('titanic.csv')data.dtypes

The variable types are as follows:

pclass         int64
survived       int64
name          object
sex           object
age          float64
sibsp          int64
parch          int64
ticket        object
fare         float64
cabin         object
embarked      object
boat          object
body         float64
home.dest     object
dtype: object
In many datasets, integer variables are cast as float. So, after inspecting the data type of the variable, even if you get float as output, go ahead and check the unique values to make sure that those variables are discrete and not continuous. ...
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Publisher Resources

ISBN: 9781789806311