ML-basics-notebook repository for jupyter noteboook / slides for machine learning summer school introducing basics of regression and gradient descent based on first half of chapter 4 of the book "Hands-On Machine Learning with Scikit-Learn & TensorFlow" by Aurélien Géron
you can either use the notebook to execute the code and e.g. vary parameters or downlowd the html file and open it in a browser to just see the slides without executing anything