Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python

 

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Download this PDF book: Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python 1st ed. Edition by Manohar Swamynathan

This book’s approach is based on the “Six degrees of separation” theory, which states that everyone and everything is a maximum of six steps away. 

Mastering Machine Learning with Python in Six Steps presents each topic in two parts: theoretical concepts and practical implementation using suitable Python packages. 

You’ll learn the fundamentals of Python programming language, machine learning history, evolution, and the system development frameworks. Key data mining/analysis concepts, such as feature dimension reduction, regression, time series forecasting and their efficient implementation in Scikit-learn are also covered. 

Finally, you’ll explore advanced text mining techniques, neural networks and deep learning techniques, and their implementation. 

All the code presented in the book will be available in the form of iPython notebooks to enable you to try out these examples and extend them to your advantage.

What You'll Learn

Examine the fundamentals of Python programming language

Review machine Learning history and evolution

Understand machine learning system development frameworks

Implement supervised/unsupervised/reinforcement learning techniques with examples

Explore fundamental to advanced text mining techniques

Implement various deep learning frameworks

About the book:

Publisher ‏ : ‎ Apress; 1st ed. edition 

Publication date ‏ : ‎ June 5, 2017

Language ‏ : ‎ English

Pages‏ : ‎ 484 

File : ‎ PDF, 10MB

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Free Download the Book: Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python 1st ed. Edition by Manohar Swamynathan