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Using machine learning models on New York City community statistics to examine neighborhoods at risk of experiencing gentrification.

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Gentrification Map

Highlighting the changes in New York City, this project performs an extensive aggregration of summary statistics across most NYC neighborhoods.

It focuses on the change in crime statistics, property prices, housing demographics, and movers from 2010 or after using data from 2016 and 2020.

The full research overview can be read here on Medium

Performing a K Means Clustering for a K value of 5, creates the following map which can be seen here

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Using machine learning models on New York City community statistics to examine neighborhoods at risk of experiencing gentrification.

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