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Battle of the Neighborhood

An investor is looking to open a new restaurant in San Francisco, but he is not sure about the best location for his new venue and needs input for making the decision. San Francisco is a busy city famous for its business innovations and tourit attractions. So, while it seems promising to set up a new restaurant business in San Francisco, the venue's location must be carefully picked in order to maximize the profit.

In this project, we address the question of choosing a new restaurant location directly using data science analysis. Through the use of publicly available data in conjunction with a location search engine and a clustering algorithm, we can come up with reasonable recommendations.

Key words: Clustering algorithm, Pandas, GeoPandas, Folium visualization

Read the full location analysis Jupyter notebook on nbviwer:

Venue Location Analysis

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