Linear regression CLI
A small Python command-line project for linear regression fundamentals.
This entry is deliberately modest. It is useful as a fundamentals project: how a simple model is fit, how coefficients affect predictions, and how a command-line interface can make the workflow repeatable.
| Concept | Project role | Signal |
|---|---|---|
| Coefficients | Learned relationship | Basic model interpretation |
| Error | Fit quality | Evaluation thinking |
| CLI | Repeatable execution | Practical interface design |
It should stay in the Lab and support the broader message: I understand the basics under higher-level AI tooling.
Repository: linear-regression-cli.