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amr t hands machine learning scikit learn python 2020

Type:: E-books
Files:: 2
Size:: 20.6 MB
Uploaded On:: July 30, 2020, 8:38 a.m.
Added By:: andryold1
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Info Hash:: B1D4CB11A1E6A38F2E495999BEE67CA4487D011D

Textbook in PDF format Machine learning is applied everywhere, from business to research and academia, while scikit-learn is a versatile library that is popular among machine learning practitioners. This book serves as a practical guide for anyone looking to provide hands-on machine learning solutions with scikit-learn and Python toolkits. The book begins with an explanation of machine learning concepts and fundamentals, and strikes a balance between theoretical concepts and their applications. Each chapter covers a different set of algorithms, and shows you how to use them to solve real-life problems. You’ll also learn various key supervised and unsupervised machine learning algorithms using practical examples. Whether it is an instance-based learning algorithm, Bayesian estimation, a deep neural network, a tree-based ensemble, or a recommendation system, you’ll gain a thorough understanding of its theory and learn when to apply it. As you advance, you’ll learn how to deal with unlabeled data and when to use different clustering and anomaly detection algorithms. By the end of this machine learning book, you’ll have learnt how to take a data-driven approach to provide end-to-end machine learning solutions. You’ll also have discovered how to formulate the problem at hand, prepare required data, and evaluate and deploy models in production

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Code.rar 8.2 MB
Amr T. Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits 2020.pdf 12.4 MB

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amr t hands machine learning scikit learn python 2020