English | 2022 | ISBN: ‎ 1032193565 | 454 pages | True EPUB | 18.87 MB

This book provides a detailed description of machine learning algorithms in data analytics, data science life cycle, Python for machine learning, linear regression, logistic regression, and so forth.

It addresses the concepts of machine learning in a practical sense providing complete code and implementation for real-world examples in electrical, oil and gas, e-commerce, and hi-tech industries. The focus is on Python programming for machine learning and patterns involved in decision science for handling data.

Features:

This book is aimed at researchers, professionals, and graduate students in data science, machine learning, computer science, and electrical and computer eeering.



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