course-exercises/week2-Linear-regression/Class-examples.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Launch Turi Create"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import turicreate"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Load house sales data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "sales = turicreate.SFrame('../../data/home_data.sframe/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">3</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">7</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">1060</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">1963</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">98198</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">47.40949984</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">3</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">7</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">1050</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">730</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">1960</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">98146</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">47.51229381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">3</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">7</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">1890</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">2003</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">98038</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">47.36840673</td>\n",
       "    </tr>\n",
       "</table>\n",
       "<table frame=\"box\" rules=\"cols\">\n",
       "    <tr>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">long</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">sqft_living15</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">sqft_lot15</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">-122.25677536</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">1340.0</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">5650.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">-122.3188624</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">1690.0</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">7639.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">-122.23319601</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">2720.0</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">8062.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">-122.39318505</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">1360.0</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">5000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">-122.04490059</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">1800.0</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">7503.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">-122.00528655</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">4760.0</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">101930.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">-122.32704857</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">2238.0</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">6819.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">-122.31457273</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">1650.0</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">9711.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">-122.33659507</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">1780.0</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">8113.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">-122.0308176</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">2390.0</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">7570.0</td>\n",
       "    </tr>\n",
       "</table>\n",
       "[21613 rows x 21 columns]<br/>Note: Only the head of the SFrame is printed.<br/>You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns.\n",
       "</div>"
      ],
      "text/plain": [
       "Columns:\n",
       "\tid\tstr\n",
       "\tdate\tdatetime\n",
       "\tprice\tint\n",
       "\tbedrooms\tstr\n",
       "\tbathrooms\tstr\n",
       "\tsqft_living\tint\n",
       "\tsqft_lot\tint\n",
       "\tfloors\tstr\n",
       "\twaterfront\tint\n",
       "\tview\tint\n",
       "\tcondition\tint\n",
       "\tgrade\tint\n",
       "\tsqft_above\tint\n",
       "\tsqft_basement\tint\n",
       "\tyr_built\tint\n",
       "\tyr_renovated\tint\n",
       "\tzipcode\tstr\n",
       "\tlat\tfloat\n",
       "\tlong\tfloat\n",
       "\tsqft_living15\tfloat\n",
       "\tsqft_lot15\tfloat\n",
       "\n",
       "Rows: 21613\n",
       "\n",
       "Data:\n",
       "+------------+---------------------------+---------+----------+-----------+-------------+\n",
       "|     id     |            date           |  price  | bedrooms | bathrooms | sqft_living |\n",
       "+------------+---------------------------+---------+----------+-----------+-------------+\n",
       "| 7129300520 | 2014-10-13 00:00:00+00:00 |  221900 |    3     |     1     |     1180    |\n",
       "| 6414100192 | 2014-12-09 00:00:00+00:00 |  538000 |    3     |    2.25   |     2570    |\n",
       "| 5631500400 | 2015-02-25 00:00:00+00:00 |  180000 |    2     |     1     |     770     |\n",
       "| 2487200875 | 2014-12-09 00:00:00+00:00 |  604000 |    4     |     3     |     1960    |\n",
       "| 1954400510 | 2015-02-18 00:00:00+00:00 |  510000 |    3     |     2     |     1680    |\n",
       "| 7237550310 | 2014-05-12 00:00:00+00:00 | 1225000 |    4     |    4.5    |     5420    |\n",
       "| 1321400060 | 2014-06-27 00:00:00+00:00 |  257500 |    3     |    2.25   |     1715    |\n",
       "| 2008000270 | 2015-01-15 00:00:00+00:00 |  291850 |    3     |    1.5    |     1060    |\n",
       "| 2414600126 | 2015-04-15 00:00:00+00:00 |  229500 |    3     |     1     |     1780    |\n",
       "| 3793500160 | 2015-03-12 00:00:00+00:00 |  323000 |    3     |    2.5    |     1890    |\n",
       "+------------+---------------------------+---------+----------+-----------+-------------+\n",
       "+----------+--------+------------+------+-----------+-------+------------+---------------+\n",
       "| sqft_lot | floors | waterfront | view | condition | grade | sqft_above | sqft_basement |\n",
       "+----------+--------+------------+------+-----------+-------+------------+---------------+\n",
       "|   5650   |   1    |     0      |  0   |     3     |   7   |    1180    |       0       |\n",
       "|   7242   |   2    |     0      |  0   |     3     |   7   |    2170    |      400      |\n",
       "|  10000   |   1    |     0      |  0   |     3     |   6   |    770     |       0       |\n",
       "|   5000   |   1    |     0      |  0   |     5     |   7   |    1050    |      910      |\n",
       "|   8080   |   1    |     0      |  0   |     3     |   8   |    1680    |       0       |\n",
       "|  101930  |   1    |     0      |  0   |     3     |   11  |    3890    |      1530     |\n",
       "|   6819   |   2    |     0      |  0   |     3     |   7   |    1715    |       0       |\n",
       "|   9711   |   1    |     0      |  0   |     3     |   7   |    1060    |       0       |\n",
       "|   7470   |   1    |     0      |  0   |     3     |   7   |    1050    |      730      |\n",
       "|   6560   |   2    |     0      |  0   |     3     |   7   |    1890    |       0       |\n",
       "+----------+--------+------------+------+-----------+-------+------------+---------------+\n",
       "+----------+--------------+---------+-------------+---------------+---------------+-----+\n",
       "| yr_built | yr_renovated | zipcode |     lat     |      long     | sqft_living15 | ... |\n",
       "+----------+--------------+---------+-------------+---------------+---------------+-----+\n",
       "|   1955   |      0       |  98178  | 47.51123398 | -122.25677536 |     1340.0    | ... |\n",
       "|   1951   |     1991     |  98125  | 47.72102274 |  -122.3188624 |     1690.0    | ... |\n",
       "|   1933   |      0       |  98028  | 47.73792661 | -122.23319601 |     2720.0    | ... |\n",
       "|   1965   |      0       |  98136  |   47.52082  | -122.39318505 |     1360.0    | ... |\n",
       "|   1987   |      0       |  98074  | 47.61681228 | -122.04490059 |     1800.0    | ... |\n",
       "|   2001   |      0       |  98053  | 47.65611835 | -122.00528655 |     4760.0    | ... |\n",
       "|   1995   |      0       |  98003  | 47.30972002 | -122.32704857 |     2238.0    | ... |\n",
       "|   1963   |      0       |  98198  | 47.40949984 | -122.31457273 |     1650.0    | ... |\n",
       "|   1960   |      0       |  98146  | 47.51229381 | -122.33659507 |     1780.0    | ... |\n",
       "|   2003   |      0       |  98038  | 47.36840673 |  -122.0308176 |     2390.0    | ... |\n",
       "+----------+--------------+---------+-------------+---------------+---------------+-----+\n",
       "[21613 rows x 21 columns]\n",
       "Note: Only the head of the SFrame is printed.\n",
       "You can use print_rows(num_rows=m, num_columns=n) to print more rows and columns."
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Explore"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre>Materializing SFrame</pre>"
      ],
      "text/plain": [
       "Materializing SFrame"
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     },
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     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>Warning: Skipping column 'date'. Unable to show columns of type 'datetime'; only [int, float, str] can be shown.</pre>"
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       "Warning: Skipping column 'date'. Unable to show columns of type 'datetime'; only [int, float, str] can be shown."
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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    {
     "data": {
      "text/html": [
       "<pre>Further warnings of unsupported type will be suppressed.</pre>"
      ],
      "text/plain": [
       "Further warnings of unsupported type will be suppressed."
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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<html>                 <body>                     <iframe style=\"border:0;margin:0\" width=\"1000\" height=\"6300\" srcdoc='<html lang=\"en\">                         <head>                             <script src=\"https://cdnjs.cloudflare.com/ajax/libs/vega/3.0.8/vega.js\"></script>                             <script src=\"https://cdnjs.cloudflare.com/ajax/libs/vega-embed/3.0.0-rc7/vega-embed.js\"></script>                             <script src=\"https://cdnjs.cloudflare.com/ajax/libs/vega-tooltip/0.5.1/vega-tooltip.min.js\"></script>                             <link rel=\"stylesheet\" type=\"text/css\" href=\"https://cdnjs.cloudflare.com/ajax/libs/vega-tooltip/0.5.1/vega-tooltip.min.css\">                             <style>                             .vega-actions > a{                                 color:white;                                 text-decoration: none;                                 font-family: \"Arial\";                                 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      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "turicreate.show(sales[1:5000]['sqft_living'],sales[1:5000]['price'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Simple regression model that predicts price from square feet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "training_set, test_set = sales.random_split(.8,seed=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## train simple regression model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PROGRESS: Creating a validation set from 5 percent of training data. This may take a while.\n",
      "          You can set ``validation_set=None`` to disable validation tracking.\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre>Linear regression:</pre>"
      ],
      "text/plain": [
       "Linear regression:"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>--------------------------------------------------------</pre>"
      ],
      "text/plain": [
       "--------------------------------------------------------"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>Number of examples          : 16466</pre>"
      ],
      "text/plain": [
       "Number of examples          : 16466"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>Number of features          : 1</pre>"
      ],
      "text/plain": [
       "Number of features          : 1"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>Number of unpacked features : 1</pre>"
      ],
      "text/plain": [
       "Number of unpacked features : 1"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>Number of coefficients    : 2</pre>"
      ],
      "text/plain": [
       "Number of coefficients    : 2"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>Starting Newton Method</pre>"
      ],
      "text/plain": [
       "Starting Newton Method"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>--------------------------------------------------------</pre>"
      ],
      "text/plain": [
       "--------------------------------------------------------"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>+-----------+----------+--------------+--------------------+----------------------+---------------------------------+-----------------------------------+</pre>"
      ],
      "text/plain": [
       "+-----------+----------+--------------+--------------------+----------------------+---------------------------------+-----------------------------------+"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>| Iteration | Passes   | Elapsed Time | Training Max Error | Validation Max Error | Training Root-Mean-Square Error | Validation Root-Mean-Square Error |</pre>"
      ],
      "text/plain": [
       "| Iteration | Passes   | Elapsed Time | Training Max Error | Validation Max Error | Training Root-Mean-Square Error | Validation Root-Mean-Square Error |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>+-----------+----------+--------------+--------------------+----------------------+---------------------------------+-----------------------------------+</pre>"
      ],
      "text/plain": [
       "+-----------+----------+--------------+--------------------+----------------------+---------------------------------+-----------------------------------+"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>| 0         | 1        | 1.008665     | 7700000.000000     | 3200000.000000       | 655766.196700                   | 619393.651834                     |</pre>"
      ],
      "text/plain": [
       "| 0         | 1        | 1.008665     | 7700000.000000     | 3200000.000000       | 655766.196700                   | 619393.651834                     |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>| 1         | 2        | 1.019581     | 4341043.481075     | 1992977.864116       | 263700.697505                   | 248996.470553                     |</pre>"
      ],
      "text/plain": [
       "| 1         | 2        | 1.019581     | 4341043.481075     | 1992977.864116       | 263700.697505                   | 248996.470553                     |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>+-----------+----------+--------------+--------------------+----------------------+---------------------------------+-----------------------------------+</pre>"
      ],
      "text/plain": [
       "+-----------+----------+--------------+--------------------+----------------------+---------------------------------+-----------------------------------+"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>SUCCESS: Optimal solution found.</pre>"
      ],
      "text/plain": [
       "SUCCESS: Optimal solution found."
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre></pre>"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sqft_model = turicreate.linear_regression.create(training_set,target='price',features=['sqft_living'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Evaluate the quality of our model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "543054.0425632538\n"
     ]
    }
   ],
   "source": [
    "print (test_set['price'].mean())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'max_error': 4136882.6348793716, 'rmse': 255209.21881082928}\n"
     ]
    }
   ],
   "source": [
    "print (sqft_model.evaluate(test_set))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Explore model a little further"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\"><table frame=\"box\" rules=\"cols\">\n",
       "    <tr>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">name</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">index</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">value</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">stderr</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">(intercept)</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">None</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">-48734.130770232245</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">5059.182816999748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">sqft_living</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">None</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">282.7959045390152</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">2.2194916510707277</td>\n",
       "    </tr>\n",
       "</table>\n",
       "[2 rows x 4 columns]<br/>\n",
       "</div>"
      ],
      "text/plain": [
       "Columns:\n",
       "\tname\tstr\n",
       "\tindex\tstr\n",
       "\tvalue\tfloat\n",
       "\tstderr\tfloat\n",
       "\n",
       "Rows: 2\n",
       "\n",
       "Data:\n",
       "+-------------+-------+---------------------+--------------------+\n",
       "|     name    | index |        value        |       stderr       |\n",
       "+-------------+-------+---------------------+--------------------+\n",
       "| (intercept) |  None | -48734.130770232245 | 5059.182816999748  |\n",
       "| sqft_living |  None |  282.7959045390152  | 2.2194916510707277 |\n",
       "+-------------+-------+---------------------+--------------------+\n",
       "[2 rows x 4 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sqft_model.coefficients"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x1280dc208>,\n",
       " <matplotlib.lines.Line2D at 0x1280dc4a8>]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "plt.plot(test_set['sqft_living'],test_set['price'],'.',\n",
    "        test_set['sqft_living'],sqft_model.predict(test_set),'-')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Explore other features of the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_features = ['bedrooms','bathrooms','sqft_living','sqft_lot','floors','zipcode']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre>Materializing SFrame</pre>"
      ],
      "text/plain": [
       "Materializing SFrame"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<html>                 <body>                     <iframe style=\"border:0;margin:0\" width=\"1000\" height=\"2100\" srcdoc='<html lang=\"en\">                         <head>                             <script src=\"https://cdnjs.cloudflare.com/ajax/libs/vega/3.0.8/vega.js\"></script>                             <script src=\"https://cdnjs.cloudflare.com/ajax/libs/vega-embed/3.0.0-rc7/vega-embed.js\"></script>                             <script src=\"https://cdnjs.cloudflare.com/ajax/libs/vega-tooltip/0.5.1/vega-tooltip.min.js\"></script>                             <link rel=\"stylesheet\" type=\"text/css\" href=\"https://cdnjs.cloudflare.com/ajax/libs/vega-tooltip/0.5.1/vega-tooltip.min.css\">                             <style>                             .vega-actions > a{                                 color:white;                                 text-decoration: none;                                 font-family: \"Arial\";                                 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      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "turicreate.show(sales['zipcode'],sales['price'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Build a model with these additional features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PROGRESS: Creating a validation set from 5 percent of training data. This may take a while.\n",
      "          You can set ``validation_set=None`` to disable validation tracking.\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre>Linear regression:</pre>"
      ],
      "text/plain": [
       "Linear regression:"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>--------------------------------------------------------</pre>"
      ],
      "text/plain": [
       "--------------------------------------------------------"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>Number of examples          : 16444</pre>"
      ],
      "text/plain": [
       "Number of examples          : 16444"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>Number of features          : 6</pre>"
      ],
      "text/plain": [
       "Number of features          : 6"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>Number of unpacked features : 6</pre>"
      ],
      "text/plain": [
       "Number of unpacked features : 6"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>Number of coefficients    : 115</pre>"
      ],
      "text/plain": [
       "Number of coefficients    : 115"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>Starting Newton Method</pre>"
      ],
      "text/plain": [
       "Starting Newton Method"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>--------------------------------------------------------</pre>"
      ],
      "text/plain": [
       "--------------------------------------------------------"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>+-----------+----------+--------------+--------------------+----------------------+---------------------------------+-----------------------------------+</pre>"
      ],
      "text/plain": [
       "+-----------+----------+--------------+--------------------+----------------------+---------------------------------+-----------------------------------+"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>| Iteration | Passes   | Elapsed Time | Training Max Error | Validation Max Error | Training Root-Mean-Square Error | Validation Root-Mean-Square Error |</pre>"
      ],
      "text/plain": [
       "| Iteration | Passes   | Elapsed Time | Training Max Error | Validation Max Error | Training Root-Mean-Square Error | Validation Root-Mean-Square Error |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>+-----------+----------+--------------+--------------------+----------------------+---------------------------------+-----------------------------------+</pre>"
      ],
      "text/plain": [
       "+-----------+----------+--------------+--------------------+----------------------+---------------------------------+-----------------------------------+"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>| 0         | 1        | 0.007891     | 7700000.000000     | 7062500.000000       | 650016.633841                   | 718380.463959                     |</pre>"
      ],
      "text/plain": [
       "| 0         | 1        | 0.007891     | 7700000.000000     | 7062500.000000       | 650016.633841                   | 718380.463959                     |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>| 1         | 2        | 0.027284     | 2593380.273428     | 3836105.704401       | 178988.181761                   | 230674.842228                     |</pre>"
      ],
      "text/plain": [
       "| 1         | 2        | 0.027284     | 2593380.273428     | 3836105.704401       | 178988.181761                   | 230674.842228                     |"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>+-----------+----------+--------------+--------------------+----------------------+---------------------------------+-----------------------------------+</pre>"
      ],
      "text/plain": [
       "+-----------+----------+--------------+--------------------+----------------------+---------------------------------+-----------------------------------+"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre>SUCCESS: Optimal solution found.</pre>"
      ],
      "text/plain": [
       "SUCCESS: Optimal solution found."
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<pre></pre>"
      ],
      "text/plain": []
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_features_model = turicreate.linear_regression.create(training_set,target='price',features=my_features)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Compare simple model with more complex one"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['bedrooms', 'bathrooms', 'sqft_living', 'sqft_lot', 'floors', 'zipcode']\n"
     ]
    }
   ],
   "source": [
    "print (my_features)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'max_error': 4136882.6348793716, 'rmse': 255209.21881082928}\n",
      "{'max_error': 3539726.837428363, 'rmse': 179363.49443647868}\n"
     ]
    }
   ],
   "source": [
    "print (sqft_model.evaluate(test_set))\n",
    "print (my_features_model.evaluate(test_set))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Apply learned models to make predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "house1 = sales[sales['id']=='5309101200']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\"><table frame=\"box\" rules=\"cols\">\n",
       "    <tr>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">id</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">date</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">price</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">bedrooms</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">bathrooms</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">sqft_living</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">sqft_lot</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">floors</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">waterfront</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">5309101200</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">2014-06-05 00:00:00+00:00</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">620000</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">4</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">2.25</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">2400</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">5350</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">1.5</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0</td>\n",
       "    </tr>\n",
       "</table>\n",
       "<table frame=\"box\" rules=\"cols\">\n",
       "    <tr>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">view</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">condition</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">grade</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">sqft_above</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">sqft_basement</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">yr_built</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">yr_renovated</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">zipcode</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">lat</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">4</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">7</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">1460</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">940</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">1929</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">98117</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">47.67632376</td>\n",
       "    </tr>\n",
       "</table>\n",
       "<table frame=\"box\" rules=\"cols\">\n",
       "    <tr>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">long</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">sqft_living15</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">sqft_lot15</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">-122.37010126</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">1250.0</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">4880.0</td>\n",
       "    </tr>\n",
       "</table>\n",
       "[? rows x 21 columns]<br/>Note: Only the head of the SFrame is printed. This SFrame is lazily evaluated.<br/>You can use sf.materialize() to force materialization.\n",
       "</div>"
      ],
      "text/plain": [
       "Columns:\n",
       "\tid\tstr\n",
       "\tdate\tdatetime\n",
       "\tprice\tint\n",
       "\tbedrooms\tstr\n",
       "\tbathrooms\tstr\n",
       "\tsqft_living\tint\n",
       "\tsqft_lot\tint\n",
       "\tfloors\tstr\n",
       "\twaterfront\tint\n",
       "\tview\tint\n",
       "\tcondition\tint\n",
       "\tgrade\tint\n",
       "\tsqft_above\tint\n",
       "\tsqft_basement\tint\n",
       "\tyr_built\tint\n",
       "\tyr_renovated\tint\n",
       "\tzipcode\tstr\n",
       "\tlat\tfloat\n",
       "\tlong\tfloat\n",
       "\tsqft_living15\tfloat\n",
       "\tsqft_lot15\tfloat\n",
       "\n",
       "Rows: Unknown\n",
       "\n",
       "Data:\n",
       "+------------+---------------------------+--------+----------+-----------+-------------+\n",
       "|     id     |            date           | price  | bedrooms | bathrooms | sqft_living |\n",
       "+------------+---------------------------+--------+----------+-----------+-------------+\n",
       "| 5309101200 | 2014-06-05 00:00:00+00:00 | 620000 |    4     |    2.25   |     2400    |\n",
       "+------------+---------------------------+--------+----------+-----------+-------------+\n",
       "+----------+--------+------------+------+-----------+-------+------------+---------------+\n",
       "| sqft_lot | floors | waterfront | view | condition | grade | sqft_above | sqft_basement |\n",
       "+----------+--------+------------+------+-----------+-------+------------+---------------+\n",
       "|   5350   |  1.5   |     0      |  0   |     4     |   7   |    1460    |      940      |\n",
       "+----------+--------+------------+------+-----------+-------+------------+---------------+\n",
       "+----------+--------------+---------+-------------+---------------+---------------+-----+\n",
       "| yr_built | yr_renovated | zipcode |     lat     |      long     | sqft_living15 | ... |\n",
       "+----------+--------------+---------+-------------+---------------+---------------+-----+\n",
       "|   1929   |      0       |  98117  | 47.67632376 | -122.37010126 |     1250.0    | ... |\n",
       "+----------+--------------+---------+-------------+---------------+---------------+-----+\n",
       "[? rows x 21 columns]\n",
       "Note: Only the head of the SFrame is printed. This SFrame is lazily evaluated.\n",
       "You can use sf.materialize() to force materialization."
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "house1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"http://blue.kingcounty.com/Assessor/eRealProperty/MediaHandler.aspx?Media=2916871\">"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[620000, ... ]\n"
     ]
    }
   ],
   "source": [
    "print (house1['price'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[629976.0401234042]\n"
     ]
    }
   ],
   "source": [
    "print (sqft_model.predict(house1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[724495.9972504767]\n"
     ]
    }
   ],
   "source": [
    "print (my_features_model.predict(house1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prediction for a second house, a fancier one"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "house2 = sales[sales['id']=='1925069082']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\"><table frame=\"box\" rules=\"cols\">\n",
       "    <tr>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">id</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">date</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">price</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">bedrooms</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">bathrooms</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">sqft_living</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">sqft_lot</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">floors</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">waterfront</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">1925069082</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">2015-05-11 00:00:00+00:00</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">2200000</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">5</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">4.25</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">4640</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">22703</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">2</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">1</td>\n",
       "    </tr>\n",
       "</table>\n",
       "<table frame=\"box\" rules=\"cols\">\n",
       "    <tr>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">view</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">condition</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">grade</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">sqft_above</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">sqft_basement</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">yr_built</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">yr_renovated</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">zipcode</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">lat</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">4</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">5</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">8</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">2860</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">1780</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">1952</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">0</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">98052</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">47.63925783</td>\n",
       "    </tr>\n",
       "</table>\n",
       "<table frame=\"box\" rules=\"cols\">\n",
       "    <tr>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">long</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">sqft_living15</th>\n",
       "        <th style=\"padding-left: 1em; padding-right: 1em; text-align: center\">sqft_lot15</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">-122.09722322</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">3140.0</td>\n",
       "        <td style=\"padding-left: 1em; padding-right: 1em; text-align: center; vertical-align: top\">14200.0</td>\n",
       "    </tr>\n",
       "</table>\n",
       "[? rows x 21 columns]<br/>Note: Only the head of the SFrame is printed. This SFrame is lazily evaluated.<br/>You can use sf.materialize() to force materialization.\n",
       "</div>"
      ],
      "text/plain": [
       "Columns:\n",
       "\tid\tstr\n",
       "\tdate\tdatetime\n",
       "\tprice\tint\n",
       "\tbedrooms\tstr\n",
       "\tbathrooms\tstr\n",
       "\tsqft_living\tint\n",
       "\tsqft_lot\tint\n",
       "\tfloors\tstr\n",
       "\twaterfront\tint\n",
       "\tview\tint\n",
       "\tcondition\tint\n",
       "\tgrade\tint\n",
       "\tsqft_above\tint\n",
       "\tsqft_basement\tint\n",
       "\tyr_built\tint\n",
       "\tyr_renovated\tint\n",
       "\tzipcode\tstr\n",
       "\tlat\tfloat\n",
       "\tlong\tfloat\n",
       "\tsqft_living15\tfloat\n",
       "\tsqft_lot15\tfloat\n",
       "\n",
       "Rows: Unknown\n",
       "\n",
       "Data:\n",
       "+------------+---------------------------+---------+----------+-----------+-------------+\n",
       "|     id     |            date           |  price  | bedrooms | bathrooms | sqft_living |\n",
       "+------------+---------------------------+---------+----------+-----------+-------------+\n",
       "| 1925069082 | 2015-05-11 00:00:00+00:00 | 2200000 |    5     |    4.25   |     4640    |\n",
       "+------------+---------------------------+---------+----------+-----------+-------------+\n",
       "+----------+--------+------------+------+-----------+-------+------------+---------------+\n",
       "| sqft_lot | floors | waterfront | view | condition | grade | sqft_above | sqft_basement |\n",
       "+----------+--------+------------+------+-----------+-------+------------+---------------+\n",
       "|  22703   |   2    |     1      |  4   |     5     |   8   |    2860    |      1780     |\n",
       "+----------+--------+------------+------+-----------+-------+------------+---------------+\n",
       "+----------+--------------+---------+-------------+---------------+---------------+-----+\n",
       "| yr_built | yr_renovated | zipcode |     lat     |      long     | sqft_living15 | ... |\n",
       "+----------+--------------+---------+-------------+---------------+---------------+-----+\n",
       "|   1952   |      0       |  98052  | 47.63925783 | -122.09722322 |     3140.0    | ... |\n",
       "+----------+--------------+---------+-------------+---------------+---------------+-----+\n",
       "[? rows x 21 columns]\n",
       "Note: Only the head of the SFrame is printed. This SFrame is lazily evaluated.\n",
       "You can use sf.materialize() to force materialization."
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "house2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"https://ssl.cdn-redfin.com/photo/1/bigphoto/302/734302_0.jpg\">"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1263438.8662907984]\n"
     ]
    }
   ],
   "source": [
    "print (sqft_model.predict(house2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1442070.3235753486]\n"
     ]
    }
   ],
   "source": [
    "print (my_features_model.predict(house2))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prediction for a super fancy home"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "bill_gates = {'bedrooms':[8], \n",
    "              'bathrooms':[25], \n",
    "              'sqft_living':[50000], \n",
    "              'sqft_lot':[225000],\n",
    "              'floors':[4], \n",
    "              'zipcode':['98039'], \n",
    "              'condition':[10], \n",
    "              'grade':[10],\n",
    "              'waterfront':[1],\n",
    "              'view':[4],\n",
    "              'sqft_above':[37500],\n",
    "              'sqft_basement':[12500],\n",
    "              'yr_built':[1994],\n",
    "              'yr_renovated':[2010],\n",
    "              'lat':[47.627606],\n",
    "              'long':[-122.242054],\n",
    "              'sqft_living15':[5000],\n",
    "              'sqft_lot15':[40000]}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<img src=\"https://upload.wikimedia.org/wikipedia/commons/2/26/Residence_of_Bill_Gates.jpg\">"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[13491984.465966508]\n"
     ]
    }
   ],
   "source": [
    "print (my_features_model.predict(turicreate.SFrame(bill_gates)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
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   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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 },
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