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.
Build a predictive model for the sale prices of homes in a city and explore potential equity issues with the real-estate assessment process
A collection of Data Science and Data Analysis projects to demonstrate my skill set in Python, Pandas, R, and machine learning
Real Estate Price Prediction based on Bangalore Dataset
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
A little Script to show the shortest cumulative commute between two workplaces.
Real estate analysis dashboard with interactive visualizations to explore investment opportunities
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.
"oxayavongsa/projects" is a public GitHub repository serving as a Graduate School Project Portfolio. Managed by Outhai Xayavongsa (Ms. Thai), it features data science and AI projects, highlighting skills in machine learning, statistical analysis, and Python programming.
Discover the housing market in King County, Washington, through a dynamic Tableau dashboard. Conduct in-depth analyses of house sales, trends, and key indicators. Utilize interactive visualizations to gain valuable insights into the real estate landscape in the region.
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