Machine Learning Project to Predict House Prices in Bangalore.

Smart property valuation system using XGBoost machine learning for accurate house price predictions based on 13 real estate features

This project is a Melbourne rental market analysis dashboard. It visualises weekly rent prices across 100+ suburbs for different property types (1-4 bed flats and houses).

A simple tool for investors to find cash-flowing properties in Canada. Scans target cities, underwrites with a conservative cash-flow model, and ranks deals by margin of safety.

AI-powered real estate platform for property price prediction, recommendations, and market insights using Streamlit and Machine Learning.

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

Industrial 20-Phase Machine Learning Pipeline for Automated Valuation (AVM). 89.80% R2 | Elite Status Certified.

livabl real-estate data scraper

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.

Synthetic Databricks / MLflow / Power BI demo for real estate renewal prediction, AI governance, monitoring, and BI integration.

🏙️ 2buyornot2buy: The Parker Luxury Condo Buy Signal Machine Learning and In-Depth Financial Analysis. Turning a rainy day from angst to analytical joy. This is what happens when you approach real-world life decisions analytically, you know, just for fun.

Collection of interactive Tableau dashboards showcasing data visualization expertise across entertainment, real estate, and aviation industries. Features Netflix content analysis, housing market trends, and British Airways customer satisfaction metrics with advanced filtering and drill-down capabilities.

Automated ELT pipeline and monthly dashboard tracking 20 macroeconomic indicators for Turkey's housing market. EVDS → Snowflake → Vercel Blob → FastAPI + Chart.js. Claude-powered monthly insight agent.

A machine learning web app that predicts house sale prices based on size and room details. Built with a Linear Regression model trained on the Ames Housing Dataset, featuring a dark-themed UI and instant price estimates.

real estate python pipeline with clean data automation

Data Pre Processing in Python using a House Rent Project. Run in Jupyter Notebook. In this Project I do Data Preprocessing in that I clean Data & shows it in relevant manner

This project predicts house prices in Bengaluru using multiple regression techniques. The goal is to build a machine learning model that takes in various features like location, size, number of bedrooms, and area, and outputs an estimated price of the property. 🔧 Models

HomeVista Chennai Housing Price Analytics Dashboard built using Excel, SQL, Power BI, Python and Streamlit to analyze property prices, location trends, luxury housing distribution, and real-estate market insights across Chennai.

End-to-end data science project on King County house sales. Covers data cleaning, EDA, visualization, feature engineering, and regression modeling to predict housing prices. Showcases core skills in Python, ML, and insight communication