Highlights
- Compared ML-DL models, ran architecture and hyperparameter searches achieving almost 12% lower RMSE vs. baseline.
- Visualized features affecting driver pay on Tableau.
Summary
Comparative modeling project across ANN, Random Forest, LSTM, BiLSTM, and hybrid models for pay prediction.
Highlights
- Benchmarked multiple model families instead of assuming one sequence model would dominate.
- Evaluated temporal and location-sensitive pay drivers.
- Built Tableau views to make results easier to inspect beyond notebook outputs.