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mastering machine learning scikit learn second edition

Type:: E-books
Files:: 6
Size:: 5.4 MB
Uploaded On:: July 19, 2018, 12:34 p.m.
Added By:: bookflare
Seeders:: 5
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Info Hash:: ADA69CCC760ABDC6821B893D91C38AFF2AB7EC0E

Description Key Features Master popular machine learning models including k-nearest neighbors, random forests, logistic regression, k-means, naive Bayes, and artificial neural networks Learn how to build and evaluate performance of efficient models using scikit-learn Practical guide to master your basics and learn from real life applications of machine learning Book Description Machine learning is the buzzword bringing computer science and statistics together to build smart and efficient models. Using powerful algorithms and techniques offered by machine learning you can automate any analytical model. This book examines a variety of machine learning models including popular machine learning algorithms such as k-nearest neighbors, logistic regression, naive Bayes, k-means, decision trees, and artificial neural networks. It discusses data preprocessing, hyperparameter optimization, and ensemble methods. You will build systems that classify documents, recognize images, detect ads, and more. You will learn to use scikit-learn’s API to extract features from categorical variables, text and images; evaluate model performance, and develop an intuition for how to improve your model’s performance. By the end of this book, you will master all required concepts of scikit-learn to build efficient models at work to carry out advanced tasks with the practical approach

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Mastering Machine Learning with Scikit-learn - Second Edition.zip 5.4 MB

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mastering machine learning scikit learn second edition

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