Numerical methods and modelling

The problem

The projects explored how model choices and input features affected predictions.

My contribution

• Built a neural-network experiment for dataset comparisons.
• Explored linear and polynomial relationships in housing-price data.
• Created plots with Python’s scientific libraries.

Evidence & scope

I compared the models and used plots to inspect the relationships in the data.

What came out of it

Python experiments with visual comparisons of model behaviour.

Academic implementations and visual comparisons in the linked repository.