Let's learn machine learning · Python · browser lab
Let's learn machine learning together. We all hear the fancy science and robot talk first. Few of us ever see how it is actually built.
You are here to watch it work on real problems: spam filters, customer churn, fraud flags, recommendations, medical risk scores, and more. Load a dataset, train a model, read the metrics, and decide if you would trust it.
Classical ML in the browser with scikit-learn and pandas.
What you will learn
Classical machine learning from first principles through real-world tabular problems.
This lab is still growing. More lessons and phases are on the way.
Spam filters, churn predictions, honest train/test splits, and the data leakage trap: why ML works and when it fails.
Predict house prices, argue about which error metric matters, watch a model overfit, and tame it with Ridge and Lasso.