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Machine Learning with Python: The Basics

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This book is an exploration of machine learning in Python. The first step is a guide for you on how to get started with machine learning in Python. All the steps which are necessary for you to do machine learning are discussed. You are guided on how to implement the concept of machine learning with Python and the SciPy platform. You are first guided on how to install the various Python libraries which are necessary for such a project to work. The installation methods for the various operating systems are explored. The book also discusses how you can use Python and matplotlib for the purpose of Data Exploration. You will learn how to use these two to load your data, explore data, and Visualizing the Data Images by use of matplotlib. The Principle Component Analysis (PCA) is also examined in detail. Logic Regression, which is very crucial in machine learning is discussed, soyou will learn how to implement it in Python. The following topics are discussed in this - Getting Started - Python and matplotlib for Data Exploration - Logistic Regression

85 pages, Kindle Edition

Published March 22, 2017

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About the author

David V.

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