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Training Systems Using Python Statistical Modeling

You're reading from   Training Systems Using Python Statistical Modeling Explore popular techniques for modeling your data in Python

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781838823733
Length 290 pages
Edition 1st Edition
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Author (1):
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Curtis Miller Curtis Miller
Author Profile Icon Curtis Miller
Curtis Miller
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Preface

Python, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning. Training Systems Using Python Statistical Modeling takes you through various different concepts that get you acquainted and working with the different aspects of machine learning.

You will get acquainted and work with the different aspects of machine learning and statistical analysis. You will start with classical statistical analysis. You will explore the principles of machine learning and train different machine learning models, and work with binary prediction models, decision trees, and random forests. You will implement different types of regression, work on neural networks, and train them. You will also learn how to evaluate cluster model results. By the end of this book, you will be confident in using various machine learning models, training them, evaluating model results, and implementing various dimensionality reduction techniques.

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