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  1. This book is for current and aspiring machine learning practitioners looking to implement solutions to real-world machine learning problems. This is an introduc‐tory book requiring no previous knowledge …

  2. [ML] Introduction to Machine Learning with Python (2017).pdf

    Repository for Machine Learning resources, frameworks, and projects. Managed by the DLSU Machine Learning Group. - MLResources/books/ [ML] Introduction to Machine Learning with Python …

  3. Python Course Machine Learning With Python by Bernd Klein.

  4. Welcome to the second edition of Machine Learning Engineering with Python, a book that aims to introduce you to the exciting world of making machine learning (ML) systems production-ready.

  5. I’ve written Machine Learning with Python for Everyone for the absolute beginner to machine learning. Even more so, you may well have very little college-level mathematics in your toolbox and I’m not …

  6. Introduction to machine learning with Python : a guide for data ...

    Jul 19, 2023 · If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are …

  7. "Machine Learning with Python" by G. R. Liu provides a comprehensive introduction to the essential concepts, theories, computational techniques, and applications of machine learning.

  8. (PDF) Machine learning with python tutorial - Academia.edu

    Audience This tutorial has been prepared for professionals aspiring to learn the basics of Python and develop applications involving machine learning techniques such as recommendation, classification, …

  9. This book of Python projects in machine learning tries to do just that: to equip the developers of today and tomorrow with tools they can use to better understand, evaluate, and shape machine learning to …

  10. This machine learning course is designed for Python developers who want to learn the theory and application of a large variety of machine learning methods. Starting from simple linear regression, …