Reinforcement Learning
This project considers how to optimize a mobile robot's path in a warehouse environment with reinforcement learning.
This project considers how to optimize a mobile robot's path in a warehouse environment with reinforcement learning.
This project analyzes national real estate data using R, exploring multiple variables, subgroups, and relationships among them.
This project explores Michelin Star-winning restaurants in Washington, D.C. using an interactive Tableau dashboard with custom-designed glassmorphism techniques.
This project provides an interactive Streamlit web application for cleaning, standardizing, and comparing Excel files.
This project analyzes the USArrests dataset and explores crime-rate patterns across all 50 U.S. states using both K-means clustering and hierarchical clustering.
This project analyzes the CreditShort data using Principal Component Analysis (PCA), through Income, Limit, Rating, Cards, Age, and Education.