Project

Uber NYC Driver Pay Prediction

Comparative ML and deep learning study for Uber NYC driver pay prediction with analysis dashboards.

ForecastingLSTMRandom ForestPowerBI

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 PowerBI views to make results easier to inspect beyond notebook outputs.
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