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.ipynb_checkpoints
.ipynb_checkpoints
 
 
Clustering New York and Toronto.ipynb
Clustering New York and Toronto.ipynb
 
 
Geospatial_Coordinates.csv
Geospatial_Coordinates.csv
 
 
README.md
README.md
 
 
Report.odt
Report.odt
 
 
Report.pdf
Report.pdf
 
 
The Battle of Neighborhoods (Week 1)-Data.pdf
The Battle of Neighborhoods (Week 1)-Data.pdf
 
 
The Battle of Neighborhoods (Week 1)-Introduction.pdf
The Battle of Neighborhoods (Week 1)-Introduction.pdf
 
 
Toronto_Neighbourhoods-1.ipynb
Toronto_Neighbourhoods-1.ipynb
 
 
Toronto_Neighbourhoods-2.ipynb
Toronto_Neighbourhoods-2.ipynb
 
 
Toronto_Neighbourhoods-3.ipynb
Toronto_Neighbourhoods-3.ipynb
 
 
Week 1 Project.ipynb
Week 1 Project.ipynb
 
 
toronto_neighbourhoods.csv
toronto_neighbourhoods.csv
 
 

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Coursera_Capstone

This is a repository of Coursera Capsone Project Notebooks. All notebook projects will available in this repository. Feel free to contribute to this capsone project.

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This project mainly focussed on k-means clustering algorithm. I have implemented efficient clustering algoring to find the most common and frequent restuarants and recommend the user the best place to open a new business.

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data-science machine-learning coursera geospatial-analysis k-means-clustering data-analysis-python

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