load_libraries.ipynb

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 "cells": [
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   "source": [
    "## Load the required libraries"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load the libraries needed for this workshop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
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   "source": [
    "import scipy\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import plotly.plotly as py\n",
    "\n",
    "import visplots\n",
    "\n",
    "from plotly.graph_objs import *\n",
    "from plotly.offline import download_plotlyjs, init_notebook_mode, iplot\n",
    "from sklearn import preprocessing, metrics\n",
    "from sklearn.cross_validation import train_test_split, cross_val_score\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.grid_search import GridSearchCV, RandomizedSearchCV\n",
    "from scipy.stats.distributions import randint\n",
    "\n",
    "init_notebook_mode()\n",
    "\n",
    "print(\"libraries all imported, ready to go\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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