Verified Credential Download PDF
What Smrity demonstrated
Built an end-to-end TEY predictor on the UCI gas-turbine data with leakage-free features, a chronological hold-out split, and honest evaluation. Compared a LinearRegression baseline to a RandomForest, reported held-out MAE/RMSE/R², and documented the model’s limits, including high-load underprediction and drift monitoring.
- Leakage-Free Feature Selection
- Chronological Hold-Out Validation
- Honest Model Evaluation
- Plain-Language Model Communication
Earn your own
Prove your skills on a real project
Pick a real company brief, complete it step by step, and walk away with a verified certificate like this one, graded by AI, shareable anywhere.
Start your own project →