Lecture Notes for Machine Learning and Data Science Courses

This book covers the following topics: Introduction to Statistics, General Machine Learning Strategies, Linear Algebra, Regression Models, Causality, Assessing model goodness, Machine Learning Models, Different Types of Data, Machine Learning techniques, Unsupervised Learning, Applications, Responsible Data Science