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.
33 standalone AI skill files for U.S. commercial real estate analysis, plus 8 reusable knowledge bases, 11 industrial research notes, and 7 Claude Code plugins. Use them as Claude Code plugins, ChatGPT prompts, Cursor rules, or reference markdown in any LLM workflow.
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.
Comprehensive real estate calculations to evaluate the performance of a rental investment. Calculations here are used on calculaterealestate.com
Real Estate Price Prediction based on Bangalore Dataset
Home Market Harvester is a Python tool for scraping OLX, otodom rental data, enabling property market analysis with automated local CSV storage.
Real estate analysis dashboard with interactive visualizations to explore investment opportunities
"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.
Rentalytics is a Python-based data analysis tool that collects and analyzes rental price data for houses near Ramat-Aviv -- Tel-Aviv
Use of visualizations with PyViz and Plotly Express to show results on geographical real estate data analysis.
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.
NYC Real Estate price prediction app using Random Forest and Streamlit
Comprehensive EDA Portfolio showcasing data analysis expertise across diverse domains including e-commerce, healthcare, real estate, retail, and finance. This repository demonstrates proficiency in Python, data visualization, statistical analysis, and business intelligence using real-world datasets from Kaggle.
The official Python library for Indian Housing Datasets. Access standardized real estate data for Mumbai, Delhi, Bangalore, and Ahmedabad for Machine Learning, Data Science, and Price Prediction projects.
property scraper Australia listings
🏘️ EstimaTours : Prédiction immobilière (Appartements) à Tours (37) via Machine Learning. Pipeline complet : Scraping DVF, Feature Engineering spatial, comparaison de modèles (Random Forest, KNN, K-Means) et carte interactive Folium.
Real estate data scraper for California ADU property owners, extracting detailed property and homeowner info
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