Training My First Regression Model
Less than 1 minute to read
What I learned
- How to separate features from the prediction target.
- Why training and test sets must remain separate.
- How a baseline helps evaluate whether a model is useful.
Examples to add
- Preparing features with a scikit-learn pipeline.
- Training a linear regression model.
- Comparing predictions with the test data.
Questions to revisit
- Which metric best represents error for this problem?
- How can I recognize overfitting before deployment?