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Python Scikit-learnRegressionPreprocessing 
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Machine Learning
Chemical Process ML Model
Python Scikit-learnRegressionPreprocessing The Problem
Identifying optimal process parameters for chemical reactions to maximize output yield.
Approach
Built a predictive Python model using regression algorithms and preprocessing techniques, with feature engineering and model evaluation to surface the most influential parameters.
Results
Achieved a model that correlates process inputs with reaction yield, enabling data-driven optimization of chemical process parameters.
Key result: Optimized reaction yield using regression
Tools Used
PythonScikit-learnPandasNumPy
GitHub - Coming Soon