Machine Learning Tutorial - ML Best Practices
✅ ML Best Practices
Do's
- Clean data
- Split train-test
- Try multiple algorithms
- Evaluate properly
Don'ts
- Small dataset
- No testing
- Ignore overfitting
Example
# Good practice
X_train, X_test = train_test_split(X, y, test_size=0.2)
model.fit(X_train, y_train)
accuracy = model.score(X_test, y_test)