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[azadeh-selahvarzi]

What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)

data loading, preprocessing pipelines, model training, hyperparameter tuning with GridSearchCV, model evaluation, and feature importance analysis

What did you learn from the changes you have made?

I learned how to structure an end-to-end ML pipeline, compare multiple models and preprocessing strategies, evaluate models using RMSE, and understand how preprocessing and model choice affect performance.

Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?

Yes, I considered using simpler preprocessing and fewer models, but I chose to compare multiple pipelines to better understand their impact and follow best practices for model selection.

Were there any challenges? If so, what issue(s) did you face? How did you overcome it?

Yes, I faced challenges with environment setup (missing packages and version differences) and evaluation metrics. I resolved these by adjusting the scoring method, using compatible metrics, and debugging pipeline step names.

How were these changes tested?

The models were tested using cross-validation during GridSearchCV and evaluated on a held-out test set using RMSE to compare final performance.

A reference to a related issue in your repository (if applicable)

Checklist

• I can confirm that my changes are working as intended

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