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What Soheib demonstrated

Built a leakage-aware turbine yield predictor end to end: framed TEY as a regression target, excluded downstream CO/NOx emissions, trained a LinearRegression baseline and a RandomForest model, and validated on a locked later-period holdout. The final model achieved strong held-out performance and was accompanied by residual analysis plus a model card covering intended use, limitations, and monitoring.

  • Leakage-Free Feature Selection
  • Time-Based Model Validation
  • Honest Residual Analysis

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