Below is a link to the coursework for the University of Washington Classification Machine Learning Specialisation. The link inlcudes the jupyter notebook implementations of the assignments. The course covers topics including logsitic regression, decision trees, regularisation and boosting.

Week 1: Linear Classifiers and Logistic Regression

Predicting sentiment from product reviews

Week 2: Learning Classifiers and Overfitting

Logistic Regression From Scratch

Logistic Regression with L2 regularization

Week 3: Decision Trees Part 1

Identifying safe loans with decision trees

Implementing binary decision trees

Week 4 Decision Trees Part 2

Decision Trees in Practice