Ch 10 · Mini-Project — A Spam Classifier · Machine Learning & AI

Topic 10 of 13 in Machine Learning & AI — Foundations — 2 lessons.

Learn From Examples

Train on labelled messages by counting which words lean spammy, then score new messages — the same idea behind early email filters.

The Real-World Version

In production you would not hand-count words — you would vectorise text and fit a model. And you can run it right here: scikit-learn is live in the playground.

All topics in Machine Learning & AI Beginner

1. What Is Machine Learning?
2. Data — Features, Labels & Splitting
3. Linear Regression — Fitting a Line
4. How Models Learn — Gradient Descent
5. Classification — Predicting Categories
6. Decision Trees
7. Evaluating a Model Honestly
8. Overfitting & the Bias-Variance Tradeoff
9. The ML Workflow
10. Mini-Project — A Spam Classifier
11. Clustering — Finding Groups Without Labels
12. Your First Real scikit-learn Model
13. Words as Numbers — A Taste of NLP