Number one best seller ebook in the "Computers & Technology Teaching & Reference" category.
Also available from the same author - 
Machine Learning with Python: A Practical Beginners’ Guide (Machine Learning From Scratch Book 2) - AU link, US link
In this step-by-step guide you will learn:
- How to download free datasets
- What tools and machine learning libraries you need
- Data scrubbing techniques, including one-hot encoding, binning and dealing with missing data
- Preparing data for analysis, including k-fold Validation
- Regression analysis to create trend lines
- Clustering, including k-means and k-nearest Neighbors
- The basics of Neural Networks
- Bias/Variance to improve your machine learning model
- Decision Trees to decode classification
- How to build your first Machine Learning Model to predict house values using Python

 
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This book actually has good reviews.