Keep learning by doing

You have built and validated real machine learning models. That is a genuine milestone. The best way to improve now is to practice on real problems.

The loop you learned is the whole of practical machine learning:

1. Explore the data
2. Define a model
3. Fit it on training data
4. Validate honestly with a held-out set
5. Improve, then repeat

To keep going:

• Try the same steps on a dataset from the RiseAfrica datasets page
• Add or remove features and watch whether the validation MAE drops
• Explore the RiseAfrica challenges, where you predict on real data and compare your score

Machine learning rewards practice more than theory. Pick a dataset this week and run the loop on it yourself.

Practice

Go back to the random forest model. Try removing one feature from ["study_hours", "attendance_pct", "prev_score"] and re-run the validation MAE. Did it get better or worse? Write down what you changed and what happened. That habit, change one thing and measure, is how real models improve.