This repository contains Python code for scraping craigslist apartment listings and comparing expected to actual rental prices using regression (ridge regression, random forest). The code was modeled for the Minneapolis / St. Paul area, but can be easily adapted for other regions.
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Using Python to scrape craigslist apartment listings, incorporate geodata (e.g., median household income, age demographics) and predict rental prices using ridge regression and random forest.
sjburwell/craigsavvy
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Using Python to scrape craigslist apartment listings, incorporate geodata (e.g., median household income, age demographics) and predict rental prices using ridge regression and random forest.
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