January 2020
Beginner to intermediate
372 pages
10h
English
Content preview from Python Feature Engineering Cookbook
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Technical requirements
We will use the following Python libraries: pandas, Matplotlib, and scikit-learn, which you can get by installing the Python Anaconda distribution, following the steps described in the Technical requirements section in Chapter 1, Foreseeing Variable Problems in Building ML Models.
We will also use NLTK from Python, a comprehensive library for NLP and text analysis. You can find instructions to install NLTK here: http://www.nltk.org/install.html. If you are using the Python Anaconda distribution, follow these instructions to install NLTK: https://anaconda.org/anaconda/nltk.
After you install NLTK, open up a Python console and execute the following:
import nltknltk.download('punkt')nltk.download('stopwords')
Those commands ...
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