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 …

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

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.

A problem with machine learning, especially when you are starting out and want to learn about the algorithms, is that it is often difficult to get suitable test data.

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

It discusses essential machine learning concepts, provides practical implementations of algorithms like decision trees, and guides through the process of evaluating algorithms with cross-validation. The …

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 problems.

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 …

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 …

Learn how to program in Python while making and breaking ciphers—algorithms used to create and send secret messages! After a crash course in Python programming basics, you’ll learn to make, …