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Python Natural Language Processing
book

Python Natural Language Processing

by Jalaj Thanaki
July 2017
Beginner to intermediate
486 pages
13h 49m
English
Packt Publishing
Content preview from Python Natural Language Processing

Supervised ML

We saw the introduction to supervised machine learning earlier in this chapter. Whatever techniques and datasets we see and use include their outcome, result, or labels that are already given in the dataset. So, this means that whenever you have a labeled dataset, you can use supervised ML algorithms.

Before starting off with algorithms, I will introduce two major concepts for supervised ML algorithms. This will also help you decide which algorithm to choose to solve NLP or any other data science-related problem:

  • Regression
  • Classification
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Publisher Resources

ISBN: 9781787121423