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What Devansh demonstrated

Built a leakage-aware turbine yield predictor end to end: framed TEY as a regression target, excluded downstream CO/NOx emissions, trained both a LinearRegression baseline and a RandomForest model, and validated on a genuine time-based holdout. The final report includes held-out MAE/RMSE/R², a residual read, and a practical monitoring plan for drift and retraining.

  • Leakage-Free Feature Selection
  • Time-Based Model Validation
  • Honest Held-Out Evaluation
  • Plain-Language Model Communication

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