USED CAR PRICE PREDICTION · PART 1
Predicts used-car listing prices within ~$1,300 at the median — comparing Ridge, CatBoost, and FT-Transformer across 243k vehicles. Part 2 deploys the winning model as a production API.
Predicts used-car listing prices within ~$1,300 at the median — comparing Ridge, CatBoost, and FT-Transformer across 243k vehicles. Part 2 deploys the winning model as a production API.
Takes the CatBoost model from Part 1 and deploys it as a production API — FastAPI, Docker, Kubernetes, Prometheus monitoring, and automated CI/CD.
Explores how to optimize a mobile robot's path in a warehouse environment using reinforcement learning techniques.
Analyzes national real estate data using R, exploring multiple variables, subgroups, and the relationships among them.
An interactive Tableau dashboard showcasing Michelin Star-winning restaurants in Washington, D.C., featuring custom-designed glassmorphism techniques.
An interactive Streamlit web application designed for cleaning, standardizing, and comparing Excel files with ease.
Examines crime-rate patterns across all 50 U.S. states using both K-means and hierarchical clustering on the USArrests dataset.
Applies Principal Component Analysis to the CreditShort dataset, examining patterns across Income, Limit, Rating, Cards, Age, and Education.