Capsone 4.ipynb

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    " ## Objective\n",
    "The aim of this report is to study and analyze the neighborhoods of Toronto city and group them into similar clusters and, to analyze those clusters to gather meaningful information. That information can be used to find out neighborhoods that are same as your current neighborhood or at least similar.\n",
    " \n",
    " \n",
    "## Data Description: \n",
    "To consider the objective stated above, we can list the below data sources used for the analysis.\n",
    "\n",
    "a)\tToronto Neighborhood Data: \n",
    "The following Wikipedia page was scraped to pull out the necessary information: https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M\n",
    "The information obtained i.e. the table of postal codes, borough and neighborhood was transformed into a pandas data frame for further analysis.\n",
    "\n",
    "b)\tCoordinate data for each Neighborhood in Toronto: \n",
    "The following csv file was used to get the latitude and longitude for the Neighborhood  http://cocl.us/Geospatial_data\n",
    "\n",
    "\n"
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