Quick little exercises and projects in statistics and machine learning Optimization: A demonstration of OLS linear regression from scratch using the Advertising dataset Regression: A demonstration of logistic regression from scratch using the spambase and breast cancer datasets Regularization: A demonstration of regularized linear regression Clustering: K-means clustering implemented from scratch Backpropagation: An example of a neural network implemented from scratch using a conterfeiting dataset Keras: An example of some simple neural network architectures implimented in Keras/TF2.0 Neural Networks: Similar examples using Beyesian parameter optimization