Load & split data
train / val / test
Fit model
on train only
Evaluate
on val, iterate
Final check
on test, once
Let's build a complete, correct supervised learning pipeline and deliberately show what overfitting looks like in a loss curve.
Layer 3 · Code
Implementing supervised learning end-to-end with scikit-learn: splitting, training, tuning, and diagnosing over/underfitting.
Load & split data
train / val / test
Fit model
on train only
Evaluate
on val, iterate
Final check
on test, once
Let's build a complete, correct supervised learning pipeline and deliberately show what overfitting looks like in a loss curve.