Simple Real Estate Return Analysis Open-source Web Application. Easy to use, developed as a side project to quickly analyze and compare Residential Properties.
-
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.
Build a predictive model for the sale prices of homes in a city and explore potential equity issues with the real-estate assessment process
Real Estate Price Prediction based on Bangalore Dataset
A collection of Data Science and Data Analysis projects to demonstrate my skill set in Python, Pandas, R, and machine learning
Real estate analysis dashboard with interactive visualizations to explore investment opportunities
An interactive dashboard displaying analysis of Toronto real estate data using PyViz, Plotly and MapBox API.
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.
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.
Home Market Harvester is a Python tool for scraping OLX, otodom rental data, enabling property market analysis with automated local CSV storage.
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).
Add a description, image, and links to the real-estate-analysis topic page so that developers can more easily learn about it.
To associate your repository with the real-estate-analysis topic, visit your repo's landing page and select "manage topics."