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An exploration on the predictive power of machine learning methods on housing prices using building permit and rental listing data.

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Housing_Modeling

Final Project for UP 229: Urban Data Science.

This Project is the Product of Allie Padget, Michael Rosen, Nicole Matteson, and Seth Reichert.

We seek to utilize Los Angeles Building Permit Data Alongside Craigslist rental listings to better explore the possibility of predicting rental prices based upon demographic factors and the number of building permits issued.

Our final analysis is located in the the _Final Notebook_Housing Modeling_UDS notebook.

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An exploration on the predictive power of machine learning methods on housing prices using building permit and rental listing data.

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