Book

Python Machine Learning By Example

Data science and machine learning are some of the top buzzwords in the technical world today. A re-surging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. This book is your entry point to machine learning. Through this book, you will learn to apply the concepts of machine learning to deal with data-related problems and solve them using the powerful yet simple language, Python. Interesting and easy-to-follow examples will keep you glued till you learn what machine learning is and how to implement it.

Offered byPackt Logo

Difficulty Level

Intermediate

Completion Time

8h28m

Language

English

About Book

Who Is This Book For?

This book is for anyone interested in entering the data science stream with machine learning. Basic familiarity with Python is assumed.

Book content

chapters 8h28m total length

Getting Started with Python and Machine Learning

Exploring the 20 newsgroups data set

Spam email detection with Naïve Bayes

News topic classification with Support Vector Machine

Click-through prediction with tree-based algorithms

Click-through rate prediction with logistic regression

Stock prices prediction with regression algorithms

Best practices

Related Resources

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