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1. Students-Academics-Prediction Students-Academics-Prediction Public

   Predicting students' academic performance using machine learning in Python. Covers data preprocessing, EDA, and model training to help educators identify students who may need additional academic s…

   Jupyter Notebook

2. RobbenWijanathan/mcfitb-dsc-2026 RobbenWijanathan/mcfitb-dsc-2026 Public

   Ensemble time-series forecasting for health insurance claims (frequency, severity & total).

   Jupyter Notebook

3. Predictive-Modeling-of-White-Wine-Quality-Using-Machine-Learning-Approaches Predictive-Modeling-of-White-Wine-Quality-Using-Machine-Learning-Approaches Public

   Predicting white wine quality from physicochemical features using Random Forest classification in R. Includes EDA with correlation heatmap, scatterplot matrix, and violin plots. Achieved 69% accura…

   R

4. RobbenWijanathan/datavidia-comp RobbenWijanathan/datavidia-comp Public

   Our code and solutions as competitors in the Datavidia Competition showing our data analysis skills through insightful visualizations, predictive models, and data-driven decision-making.

   Jupyter Notebook

5. A-Comparative-Analysis-of-Tree-Based-Ensemble-Classifiers-for-Binary-Online-News-Popularity A-Comparative-Analysis-of-Tree-Based-Ensemble-Classifiers-for-Binary-Online-News-Popularity Public

   Binary classification of online news popularity using Random Forest, XGBoost, and LightGBM on the UCI Mashable dataset (39,644 articles, 60 features). LightGBM achieves best accuracy of 67.27% afte…

   Jupyter Notebook