Full-stack Machine Learning Startup Success Predictor with 50K+ company dataset, bias-free methodology, XGBoost ensemble, Logistic Regression, SVM w/ RBF kernel, and SHAP interpretability. Built w/ FastAPI backend, React/Next.js frontend, and end to end ML & DS pipeline. Python, TypeScript, Tailwind CSS, numpy, pandas, scikit-learn, and more.
-
Updated
Aug 10, 2025 - Jupyter Notebook