Real estate brokers are the....

Access VALUE market data using R

R scripts for cleaning Immoscout24/RWI-GEO-RED data

Scrape data to visualize Allegheny County local and property tax by municipality

This project provides hands-on experience in data handling, cleaning, exploration, and visualization using R. By delving into both real estate and ad click datasets, participants gain insights into user behavior, website usability, and advertising trends.

Real Estate Apprasial Language

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 ShinyR app for analyzing recently sold data from Redfin.com to find comparables of homes you maybe interested in purchasing.

Functions in R for downloading real estate data from sreality.cz.

Predicting House Prices Based on Varied ML Methods Such as Random Forest and XGBoost

Create a dataset with sale price estimates for over 700k buildings in New York City.

The purpose of this study is plot and analyzing mean, median, standard deviation, variance, skewness and kurtosis of the real estate prices in various regions in Poland.

Understanding Real Estate Market Through Zillow Economic Data: a Time-Series and Machine Learning Approach

Interactive map for spatial distance scores

Data: Boston Housing Dataset (HousingData.csv) Programming language(s): R Tool(s): RStudio Business problem: To understand the drivers behind the value of houses in Boston and provide data-driven recommendation to the client on how they can increase the value of housing.The Boston housing dataset consisted of 506 observations and 14 variables. P…

Bayesian multilevel modeling of real estate sales in NYC

Determine the maximum home you can afford

Applying fraud analysis in the NY Property Tax dataset with 1048575 observations and 30 variables