Python Machine Learning 1st Edition eTextbook by Wei-Meng Lee

Complete eTextbook Content:
Chapter 1 Introduction to Machine Learning
Chapter 2 Extending Python Using NumPy
Chapter 3 Manipulating Tabular Data Using Pandas
Chapter 4 Data Visualization Using matplotlib
Chapter 5 Getting Started with Scikit-learn for Machine Learning
Chapter 6 Supervised Learning—Linear Regression
Chapter 7 Supervised Learning—Classification Using Logistic Regression
Chapter 8 Supervised Learning—Classification Using Support Vector Machines
Chapter 9 Supervised Learning—Classification Using K-Nearest Neighbors (KNN)
Chapter 10 Unsupervised Learning—Clustering Using K-Means
Chapter 11 Using Azure Machine Learning Studio
Chapter 12 Deploying Machine Learning Models

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Name: Python Machine Learning
Author: Wei-Meng Lee
Edition: 1st
ISBN-10: 1119545633
ISBN-13: 978-1119545637
Type: eTextbook

This is a eBook for the actual textbook of Python Machine Learning, by Wei-Meng Lee.

eTextbook comes in pdf format which can work under all PC based windows operating system and Mac, Linux OS, Iphone, Ipad, Android etc…

It saves to your hard-drive and can be burned to CD-ROM. All pages are printable.

It is exactly same as the actual hardbook. And it is Color Version.

File Includes:

1) A COMPLETE eBook 307 Pages), with all single page and Chapters, Color Version. Same as the original textbook. Comes with PDF file format. Can be read by Adobe Reader.

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