UrbanSphere is a powerful tool designed to assist potential buyers and residents by evaluating and ranking sub-districts of cities. It uses diverse parameters such as air quality, water quality, crime rate, and proximity to essential facilities to highlight the best areas for your needs.

A comprehensive R-based data analysis project that examines housing rental patterns across multiple cities, utilizing statistical methods and visualization techniques to analyze 4,746 properties' data points including rent prices, locations, and amenities. The project employs various R libraries to clean, process, and visualize rental market trends

Data-driven analysis of the Ames Housing Dataset, combining advanced feature engineering and Stochastic Gradient Descent (SGD) regression model tuning. This repository showcases predictive modeling, hyperparameter optimization, and actionable insights for real estate analytics.