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Battle of Neighborhoods - Week 1.ipynb
Battle of Neighborhoods - Week 1.ipynb
 
 
Capstone - The Battle of Neighborhoods - GN - Final.ipynb
Capstone - The Battle of Neighborhoods - GN - Final.ipynb
 
 
Coursera Capstone Report - G Navia.pdf
Coursera Capstone Report - G Navia.pdf
 
 
MH_flats_price.csv
MH_flats_price.csv
 
 
MH_rent_latlong.csv
MH_rent_latlong.csv
 
 
MH_subway.csv
MH_subway.csv
 
 
NYC_subway_list.csv
NYC_subway_list.csv
 
 
README.md
README.md
 
 
The Battle of Neighborhoods - Week 2.ipynb
The Battle of Neighborhoods - Week 2.ipynb
 
 
Toronto - Clustering Neighborhoods - PART 1 .ipynb
Toronto - Clustering Neighborhoods - PART 1 .ipynb
 
 
Toronto - Clustering Neighborhoods - PART 3.ipynb
Toronto - Clustering Neighborhoods - PART 3.ipynb
 
 
Toronto - Clustering Neighborhoods - Part 2.ipynb
Toronto - Clustering Neighborhoods - Part 2.ipynb
 
 
manhattan_merged.csv
manhattan_merged.csv
 
 
mh_neigh_data.csv
mh_neigh_data.csv
 
 

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Coursera_Capstone

Coursera Capstone Project First part of Assignment to cluster and map neighborhoods in Toronto. xx PART 1: The final result is a table containing "PostalCode", "Borough" and "Neighbourhood" of Toronto xx xx PART 2: starts in cell 38 : Here, two more columns are added for "Latitude" and "Longitude" xx xx PART 3: starts in cell 43 : Here the Foursquare API is used to generate venues for the neighhorhoods that contain the word "Toronto" and maps of clusters are created.

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