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craigsavvy

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.

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