|Mastering Machine Learning With Scikit-learn 2nd Ed (Packt)|
|Wednesday, 17 January 2018|
Now in its second edition of this book shows how the algorithms and techniques offered by machine learning can be used to automate any analytical model. Author Gavin Hackeling examines a variety of machine learning models including popular machine learning algorithms including k-nearest neighbors, logistic regression, naive Bayes, k-means, decision trees, and artificial neural networks. It discusses data preprocessing, hyperparameter optimization, and ensemble methods.
The book shows how to build systems that classify documents, recognize images, detect ads, and more. It also covers scikit-learn’s API for extracting features from categorical variables, text and images and evaluating model performance.
Author: Gavin Hackeling
Topics covered include
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