4.1.3 - unsupervised or supervised.ipynb

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    "For each of these scenarios decide if you could use supervised or unsupervised techniques, or both!  \n",
    "\n",
    "1.  Define the likelihood that an individual will contract a specific disease  \n",
    "\n",
    "    - supervised: you know the outcome you are trying to predict.\n",
    "\n",
    "2.  Translate a set of images into variables for modeling  \n",
    "\n",
    "    - unsupervised:  you don't know what the variables are or their correlations or predictve value\n",
    "\n",
    "3.  An ecommerce company wants to identify power users  \n",
    "    - unsupervised:  unsupervised for identifying groups or clusters of users.\n",
    "\n",
    "4.  That same company wants to see shopping patterns in users  \n",
    "    - unsupervised:  same as above; unsupervised to identify clusters or patterns of the data for different users\n",
    "\n",
    "5.  You want to reduce the number of variables inputting into your random forest model  \n",
    "    - unsupervised:  like PCA; you're looking for clusters of a single variable or multiple variables that are describing a situation and might have good predictive value.  \n",
    "\n",
    "\n"
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