Section 3

Classification, logistic regression and overfitting

Predicting categories instead of numbers. Why a straight line fails for yes-or-no answers, the sigmoid and logistic regression, decision boundaries, the log loss and how gradient descent trains it, then the central problem of machine learning: fitting the data without memorising it, and how regularisation helps. Ends with a lab where you build logistic regression in NumPy.

• 8 lessons
• 2 h 18 min