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Used K-means clustering and mapping libraries to determine best cities in San Diego to open a Mexican restaurant

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IBM Data Science Capstone Project

Built a dataframe using web-scraping and geopy libraries

dataframe

Made a call to Foursquare API to request venue data for each San Diego city

api request

Explored and clustered the cities using K-means Clustering after data cleanup and transformation

k-means clustering

Found which clusters of cities would present worthwhile opportunities for developing a Mexican restaurant

folium map

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Used K-means clustering and mapping libraries to determine best cities in San Diego to open a Mexican restaurant

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scikit-learn geopy beautifulsoup4 pandas-python folium-maps

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