trip_booking.ipynb

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    "# Will Chris book a trip?\n",
    "This Jupyter notebook is designed for you to write Python code to automate the process of building a decision tree to determine whether or not a user will book a trip.\n",
    "\n",
    "Our first job is to get used to writing and executing Python code."
   ]
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   "source": [
    "## 1: Source data"
   ]
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    "## 2: Explore and transform"
   ]
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   "source": [
    "## 3: Modelling"
   ]
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   "source": [
    "## 4: Evaluate"
   ]
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   "source": [
    "### Tree Visualization Function"
   ]
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   "source": [
    "def graphTree(tree_name):\n",
    "  import graphviz\n",
    "\n",
    "  dot_data = tree.export_graphviz(tree_name, out_file=None, \n",
    "                           feature_names = X.columns,  \n",
    "                           class_names = [\"No\", \"Yes\"],  \n",
    "                           filled=True, rounded=True)  \n",
    "  graph = graphviz.Source(dot_data)  \n",
    "  return graph "
   ]
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    "months = {\n",
    "        'Jan' : 1,\n",
    "        'Feb' : 2,\n",
    "        'Mar' : 3,\n",
    "        'Apr' : 4,\n",
    "        'May' : 5,\n",
    "        'Jun' : 6,\n",
    "        'Jul' : 7,\n",
    "        'Aug' : 8,\n",
    "        'Sep' : 9, \n",
    "        'Oct' : 10,\n",
    "        'Nov' : 11,\n",
    "        'Dec' : 12\n",
    "}\n"
   ]
  }
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