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
Name: Python Machine Learning
Author: Wei-Meng Lee
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.
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.
It is only computer file/s, I will not ship hard copy. The file can be downloaded instantly after the payment has been made.
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