#classification

End-to-end Employee Attrition Prediction system with data analysis, feature engineering, model comparison, explainable AI (SHAP), FastAPI deployment, and Docker.

An end-to-end AI-powered breast cancer diagnosis system using Machine Learning, FastAPI, and Streamlit for real-time cancer risk prediction and healthcare analytics.

End-to-end ML project for Airbnb room type classification with data preprocessing, model pipeline, and web deployment.

On this task an LLM did not beat free deterministic clustering. Clustering is worth +60.6 macro F1 over the majority floor at zero cost; adding claude-opus-5 cost 11.9 macro F1 and $0.31. Measured against a published corpus. Project 1 of an AI-in-QA portfolio.

Breast Cancer Classification using Machine Learning

An automated machine learning pipeline that performs EDA, preprocessing, model training, evaluation, and best model selection for classification and regression datasets.

AI-powered Customer Churn Prediction Platform built with Streamlit, Machine Learning, and NLP.