Academic experiments with neural networks and linear and polynomial relationships in data.
Prepare dataset features and inspect modelling assumptions.
Experiment with neural-network and regression approaches.
Compare model behaviour and visualize relationships explaining the results.
Understanding model behaviour requires examining how assumptions and individual features affect predictions.
The work is listed in my professional profile as an academic modelling project. Its repository link is provided for further inspection.
Built modelling experiments with clear visualizations of relationships between input features and predictions.
Built practical familiarity with numerical methods, model experimentation, and clear visualization of data relationships.
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