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Introduction to NumPy, TensorFlow, and scikit-learn

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23 Jun 2020CPOL5 min read
In this article we take a quick look at NumPy and TensorFlow also do a short overview of the scikit-learn library.
NumPy is a fundamental building block of all machine learning libraries, TensorFlow is a framework for several deep learning-related libraries. scikit-learn is a full-featured library of traditional machine learning methods. This module gives quick overview of these three libraries.

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

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Thomas Daniels
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Belgium Belgium
Also known as ProgramFOX. I like programming, playing chess and astronomy. Administrator of Chess Variants Training[^].

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