Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits
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More About This Title Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits

English

This book covers the theory and practice of building data-driven solutions. Includes the end-to-end process, using supervised and unsupervised algorithms. With each algorithm, you will learn the data acquisition and data engineering methods, the apt metrics, and the available hyper-parameters. You will learn how to deploy the models in production.

English

"Tarek Amr has 8 years of experience in data science and machine learning. After finishing his postgraduate degree at the University of East Anglia, he worked in a number of startups and scaleup companies in Egypt and in the Netherlands.

This is his second data-related book. His previous book is about data visualization using D3.js. He enjoys giving talks and writing about different computer science and business concepts and explaining them to a wider audience.

He can be reached on twitter at @gr33ndata. He is happy to respond to all questions related to this book. Feel free to reach him if any parts of the book need clarifications or if you would like to discuss any of the concepts there in more detail."
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