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I confirm that you submitted the assignment and that you have completed all course requirements for Production.
A few items about your submission:
You did exactly what was asked in the instructions.
Your pipelines can be enhanced, for example, some numeric variables can be transformed through the power transform while others only scaled (concurrently). As well, you may always want to scale your variables.
In general, I think you have the idea of experimentation and, now, it is time to run a large number of experiments and carry on with your career as a Data Scientist.
This assignment is complete.
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What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)
Created a notebook that builds and evaluates four pipelines for predicting forest fire area, saves the best model, and includes SHAP explanations.
What did you learn from the changes you have made?
Learned to preprocess data, tune models, evaluate RMSE, and interpret SHAP values for feature importance.
Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?
N/A
Were there any challenges? If so, what issue(s) did you face? How did you overcome it?
N/A
How were these changes tested?
Tested via cross-validation, compared RMSE across pipelines, and verified predictions with the saved pickle model.
A reference to a related issue in your repository (if applicable)
N/A
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