A multi-page streamlit app for geospatial
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Updated
Jul 6, 2023 - Python
A multi-page streamlit app for geospatial
Housing Data: BCIC Innovation Exchange™ Public Service Challenge for BC Stats
R package to obtain past sales data from allhomes.com.au
Create housing databases
Data Visualisation application to show the distribution of property values across the City of Vancouver
A collection of Machine learning projects provided by coursework in GA, 2017
A machine learning project that explores and predicts the prices of houses in Washington, USA
Forecast of housing prices index in Croatia based on World Bank datasets such as credit interest rates, gdp and consumer power.
A basic script in R for how to pull data from ImmobilienScout24's Rest Price History API
Selected Questions answered from the book and the two different datasets were analyzed and presented
R scripts for cleaning Immoscout24/RWI-GEO-RED data
A data analysis of the U.S. housing market using Zillow Research and Consumer Price Index (CPI) to compare housing costs and cost of living across multiple U.S. cities.
This project looks at the housing data for King County, Washington. I created a predictive model that accurately predicts houses within the lower 75% price bracket to an accuracy of 92%.
Data scraped from various sites for housing data around the greater Toronto area (GTA). Scrapes happen daily and data is in both JSON and CSV formats. Free to use for analysis.
MA Housing Assistance APP
Herein, SQL queries are used to clean Nashville Housing data
One place for tertiary students and workers to find affordable hostels/housing
Beating the Zillow Zestimate: Predicting King County Home Prices
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