Akshay sekhar b completed Energy and Renewable: Machine Learning for the Power Grid

Built an end-to-end turbine yield predictor using leakage-free sensor inputs and a chronological hold-out split. Compared a LinearRegression baseline with a tuned RandomForestRegressor, then reported honest held-out MAE, RMSE, and R2 alongside a residual read and deployment-minded model card. The work shows solid judgment about feature leakage, evaluation discipline, and operational monitoring.

• Leakage-Free Feature Selection
• Chronological Hold-Out Validation
• Baseline-vs-Ensemble Comparison
• Honest Residual Interpretation