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Mastering machine learning with Python in six steps = a practical Implementation guide to predictive data analytics using Python /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Mastering machine learning with Python in six steps/ by Manohar Swamynathan.
Reminder of title:	a practical Implementation guide to predictive data analytics using Python /
Author:	Swamynathan, Manohar.
Published:	Berkeley, CA :Apress : : 2017.,
Description:	xxi, 358 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Python (Computer program language) -
Online resource:	http://dx.doi.org/10.1007/978-1-4842-2866-1
ISBN:	9781484228661

Mastering machine learning with Python in six steps = a practical Implementation guide to predictive data analytics using Python /
Swamynathan, Manohar.

Mastering machine learning with Python in six stepsa practical Implementation guide to predictive data analytics using Python /[electronic resource] :by Manohar Swamynathan. - Berkeley, CA :Apress :2017. - xxi, 358 p. :ill., digital ;24 cm.

Chapter 1: Getting Started in Python -- Chapter 2: Introduction to Machine Learning -- Chapter 3: Fundamentals of Machine Learning -- Chapter 4: Model Diagnosis and Tuning -- Chapter 5: Text Mining -- Chapter 6: Demystifying Neural Network -- Chapter 7: Conclusion.

Master machine learning with Python in six steps and explore fundamental to advanced topics, all designed to make you a worthy practitioner. 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.

ISBN: 9781484228661

Standard No.: 10.1007/978-1-4842-2866-1doiSubjects--Topical Terms:

566246
Python (Computer program language)

LC Class. No.: QA76.73.P98

Dewey Class. No.: 005.133

Mastering machine learning with Python in six steps = a practical Implementation guide to predictive data analytics using Python /
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