We focus on using Python and the scikit-learn library, and work through all the steps to create a successful machine learning application. The meth‐ods we introduce will be helpful for …

Discuss machine learning using Python and the Scikit-learn libraries. Where possible, I will manually implement the relevant machine learning algorithm using Python.

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

Python Course Machine Learning With Python by Bernd Klein.

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 …

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.

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 …

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

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, …

I created a Python package based on this work, which offers simple Scikit-learn style interface API along with deep statistical inference and residual analysis capabilities for linear regression …