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
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Sep 15, 2025 - Jupyter Notebook