Supervised learning

Congratulations, you just got hired. Your new employer is a mythical insurance company and your job is to build the models that decide who gets coverage. The clients? Yetis. Dragons. Creatures that statistically should not exist but somehow keep filing claims.

Through this narrative you will learn decision trees, random forests, gradient boosting, linear and logistic regression, and neural networks. Every algorithm is introduced because the business needs it. Every metric matters because real money is on the line. You will deal with overfitting, data leakage, bias variance tradeoffs, and deploying a model to production that will absolutely break on day one.

This is not a textbook. It is a job simulation with mythical creatures and real machine learning. If you have the maths from the Before Machine Learning series, you are ready. If you do not, go get it first. I will wait.