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rmse-evaluation

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aditi-gupta-git / Binary-Distillation-Surrogate-Model

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This project develops machine learning ML surrogate models to approximate the performance of a binary distillation column. Process data is generated using DWSIM, an open-source process simulator, by systematically varying key operating parameters to predict Distillate Purity and Reboiler Duty. This was my Screening Task for FOSSEE IIT-B Internship.

open-source linear-regression exploratory-data-analysis xgboost polynomial-regression support-vector-regression random-forest-regression dwsim adaboost-regressor data-cleaning-and-preprocessing randomised-search-cross-validation rmse-evaluation residual-plots univariate-bivariate-multivariate parity-plots
  • Updated Sep 15, 2025
  • Jupyter Notebook

alfayezahmad / ideal-sniffle

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Proof‑of‑concept machine learning pipeline for forecasting PM2.5 air pollution in Lucknow, India. Includes data preprocessing, lag feature engineering, Linear Regression and Random Forest models, evaluation metrics, visualizations, and next‑day forecasts with AQI‑based health recommendations.

random-forest linear-regression r2-score lucknow aqi-prediction mae-evaluation rmse-evaluation mape-evaluation
  • Updated Nov 22, 2025
  • Jupyter Notebook

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