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What Harsh demonstrated

Built a leakage-aware turbine yield predictor end to end: framed TEY as the target, excluded downstream CO/NOx emissions, and validated on a genuine time-based holdout rather than a random split. Compared a LinearRegression baseline with a tuned RandomForest, reported held-out MAE/RMSE/R2, checked residual behavior, and documented the model’s intended use, limits, and monitoring plan.

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

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