Simple Real Estate Return Analysis Open-source Web Application. Easy to use, developed as a side project to quickly analyze and compare Residential Properties.
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Updated
Mar 3, 2021 - Python
Simple Real Estate Return Analysis Open-source Web Application. Easy to use, developed as a side project to quickly analyze and compare Residential Properties.
Real estate leasing trend analysis using geospatial data and machine learning. Built during ASA DataFest 2025 by Team TLDR.
Build a predictive model for the sale prices of homes in a city and explore potential equity issues with the real-estate assessment process
An interactive dashboard displaying analysis of Toronto real estate data using PyViz, Plotly and MapBox API.
Real estate analysis dashboard with interactive visualizations to explore investment opportunities
Home Market Harvester is a Python tool for scraping OLX, otodom rental data, enabling property market analysis with automated local CSV storage.
Real Estate Price Prediction based on Bangalore Dataset
Rentalytics is a Python-based data analysis tool that collects and analyzes rental price data for houses near Ramat-Aviv -- Tel-Aviv
"oxayavongsa/projects" is a public GitHub repository serving as a diverse AI/ML Project Portfolio. Using Python coding and Juptyer notebook for multiple methodologies to model statistical algorithms.
Use of visualizations with PyViz and Plotly Express to show results on geographical real estate data analysis.
Comprehensive real estate calculations to evaluate the performance of a rental investment. Calculations here are used on calculaterealestate.com
Predictive analytics of King County real estate prices using data mining techniques. Insights for home valuation and trend analysis from May 2014 to May 2015 dataset.
A little Script to show the shortest cumulative commute between two workplaces.
Comparing renting vs. buying, co-ops vs. condos, and evaluating the financial returns and requirements for different property types in Manhattan (2024).
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