Tabular Data Machine Learning
This skill guides the process of developing predictive models for tabular data with proper validation practices.
Data Spending Strategy
Always partition data into:
- Training set: Used for all feature engineering, feature selection, and
model development
- Test set: Reserved for final model evaluation only—requires explicit user
permission before use
A common split is 75% training / 25% testing. Use stratified sampling:
- Classification: stra
[Description truncada. Veja o README completo no GitHub.]