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Python machine learning blueprints : put your machine learning concepts to the test by developing real-world smart projects, 2nd edition [E-Book] /

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Python machine learning by example : implement machine learning algorithms and techniques to build intelligent systems, 2nd edition [E-Book] /
Table of Contents: “...Python machine learning by example: implement machine learning algorithms and techniques to build intelligent systems, 2nd edition -- Dedication -- Foreword -- Contributors -- Table of Contents -- Preface -- Section 1: Fundamentals of Machine Learning...”

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Hands-on unsupervised learning with Python : implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more [E-Book] /

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Ensemble machine learning cookbook : over 35 practical recipes to explore ensemble machine learning techniques using Python [E-Book] /
Table of Contents: “... with Ensemble Machine Learning -- Chapter 3: Resampling Methods -- Chapter 4: Statistical and Machine Learning Algorithms -- Chapter 5: Bag the Models with Bagging -- Chapter 6: When in Doubt, Use Random Forests -- Chapter 7: Boosting Model Performance with Boosting...”

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Python Machine Learning Cookbook : Over 100 recipes to progress from smart data analytics to deep learning using real-world datasets, 2nd edition [E-Book] /

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Python machine learning by example : easy-to-follow examples that get you up and running with machine learning [E-Book] /
Table of Contents: “... with Python and Machine Learning -- Chapter 2: Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms -- Chapter 3: Spam Email Detection with Naive Bayes -- Chapter 4: News Topic Classification with Support Vector Machine -- Chapter 5: Click-Through...”

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Machine learning for OpenCV : a practical introduction to the world of machine learning and image processing using open CV and python [E-Book] /
Table of Contents: “... Pedestrians with Support Vector Machines -- 7. Implementing a Spam Filter with Bayesian Learning -- 8. Discovering Hidden Structures with Unsupervised Learning -- 9. Using Deep Learning to Classify Handwritten Digits -- 10. Combining Different Algorithms...”

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