Assignment-1 update

[VictorKwong]

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

I modified the existing code, built machine learning models, and improved model performance by adjusting parameters and adding new layers.

What did you learn from the changes you have made?

I learned how different model architectures and hyperparameters affect performance and how to evaluate models using appropriate metrics.

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

I considered trying different algorithms, adding more layers, and tuning more hyperparameters to improve results.

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

I faced issues with code errors and model configuration. I solved them by debugging errors, checking documentation, and adjusting the code.

How were these changes tested?

The changes were tested by training the models, evaluating them on test data, and comparing performance metrics such as accuracy and MAE.

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

Checklist

• I can confirm that my changes are working as intended

[github-actions]

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