IBM Data Science Professional Final Project - Week 4 - part 2.ipynb

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    "# IBM Data Science Professional Capstone Project"
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   "source": [
    "## Data"
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    "#### To help judge the potential comfort of such a move, we will use Foursquare location data to explore New York City and Toronto neighborhoods. The Foresquare `explore` function, for example, will help us learn among other things the most common categories of venues in each neighborhood. \n",
    "\n",
    "#### We'll try to analyze, mathematically and otherwise, how else the neighborhoods in each city might be grouped based on their characterists--for example, by using the *k*-means clustering algorithm. \n",
    "\n",
    "#### To further help us grasp the similarities or differences between the cities on various scales, we'll use the Folium library to visualize the neighborhoods and their emerging clusters. \n",
    "\n",
    "#### We'll end discussing what conclusions we might help anxious New Yorkers make about the cultural and business compatability of a possible move to Toronto."
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