Mastering Machine Learning with scikit-learn

    Apply effective learning algorithms to real-world problems using scikit-learn



    Bookstore > Books > Mastering Machine Learning with scikit-learn

    Price$41.48
    Rating
    AuthorGavin Hackeling
    PublisherPackt Publishing
    Published2014
    Pages238
    LanguageEnglish
    FormatPaper book / ebook (PDF)
    ISBN-101783988363
    ISBN-139781783988365
    EBook Hardcover Paperback

    This book examines machine learning models including logistic regression, decision trees, and support vector machines, and applies them to common problems such as categorizing documents and classifying images. It begins with the fundamentals of machine learning, introducing you to the supervised-unsupervised spectrum, the uses of training and test data, and evaluating models. You will learn how to use generalized linear models in regression problems, as well as solve problems with text and categorical features.

    You will be acquainted with the use of logistic regression, regularization, and the various loss functions that are used by generalized linear models. The book will also walk you through an example project that prompts you to label the most uncertain training examples. You will also use an unsupervised Hidden Markov Model to predict stock prices.




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