An Introduction to Statistical Learning provides a broad and less technical treatment of key topics in statistical learning. This book is appropriate for anyone who wishes to use contemporary …

This book, fully updated for Python version 3.6+, covers the key ideas that link probability, statistics, and machine learning illustrated using Python modules in these areas. All the figures …

The syllabus includes: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge …

So, I created a concise version of the book as a course on statistical machine learning in python. In this repo, each chapter of the book has been translated into a jupyter notebook with …

Dec 16, 2024 · Let’s take a look at some of the key statistical concepts that are tightly related to machine learning. You can learn more about these concepts in our Statistics Fundamentals …

“The book adopts a hands-on, practical approach to teaching statistical learning, featuring numerous examples and case studies, accompanied by Python code for implementation. It …

Dec 19, 2024 · Statistics and machine learning in Python have become important and a dominant tool for scientific computing, statistics, machine learning, and deep learning. With its extensive …

5 days ago · Leverage your existing statistical knowledge Understanding your background helps you focus on what matters most for your goals. Even experienced developers should review …

Univariate Statistics; Hands-On: Brain volumes study; Linear Mixed Models; Multivariate Statistics; Resampling and Monte Carlo Methods

Through hands-on exercises, you'll master essential techniques in regression, classification, and advanced algorithms in deep learning. Students will implement and test over 15 different …