diff --git a/kaggle/titanic.ipynb b/kaggle/titanic.ipynb
index aeb246e..3720515 100644
--- a/kaggle/titanic.ipynb
+++ b/kaggle/titanic.ipynb
@@ -1,7 +1,7 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:d50d4742eadf392ff4590f3569ff98f508db3dacbf33e0a31bd799b6bf4826ac"
+  "signature": "sha256:fa67591f8fc6a26469c4ee41e525877faea06787800b22b7273babe8116a05c4"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -29,6 +29,7 @@
       "* Data Munging Summary\n",
       "* Random Forest: Training\n",
       "* Random Forest: Predicting\n",
+      "* Random Forest: Prepare for Kaggle Submission\n",
       "* Support Vector Machine: Training\n",
       "* Support Vector Machine: Predicting"
      ]
@@ -2552,6 +2553,135 @@
      "metadata": {},
      "outputs": [],
      "prompt_number": 42
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "## Random Forest: Prepare for Kaggle Submission"
+     ]
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Create a DataFrame by combining the index from the test data with the output of predictions:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "result = np.c_[test_data[:, 0].astype(int), output.astype(int)]\n",
+      "df_result = pd.DataFrame(result[:, 0:2], columns=['PassengerId', 'Survived'])\n",
+      "df_result.head(10)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [
+      {
+       "html": [
+        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+        "<table border=\"1\" class=\"dataframe\">\n",
+        "  <thead>\n",
+        "    <tr style=\"text-align: right;\">\n",
+        "      <th></th>\n",
+        "      <th>PassengerId</th>\n",
+        "      <th>Survived</th>\n",
+        "    </tr>\n",
+        "  </thead>\n",
+        "  <tbody>\n",
+        "    <tr>\n",
+        "      <th>0</th>\n",
+        "      <td> 892</td>\n",
+        "      <td> 0</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>1</th>\n",
+        "      <td> 893</td>\n",
+        "      <td> 0</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>2</th>\n",
+        "      <td> 894</td>\n",
+        "      <td> 0</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>3</th>\n",
+        "      <td> 895</td>\n",
+        "      <td> 0</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>4</th>\n",
+        "      <td> 896</td>\n",
+        "      <td> 0</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>5</th>\n",
+        "      <td> 897</td>\n",
+        "      <td> 0</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>6</th>\n",
+        "      <td> 898</td>\n",
+        "      <td> 0</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>7</th>\n",
+        "      <td> 899</td>\n",
+        "      <td> 0</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>8</th>\n",
+        "      <td> 900</td>\n",
+        "      <td> 1</td>\n",
+        "    </tr>\n",
+        "    <tr>\n",
+        "      <th>9</th>\n",
+        "      <td> 901</td>\n",
+        "      <td> 0</td>\n",
+        "    </tr>\n",
+        "  </tbody>\n",
+        "</table>\n",
+        "</div>"
+       ],
+       "metadata": {},
+       "output_type": "pyout",
+       "prompt_number": 43,
+       "text": [
+        "   PassengerId  Survived\n",
+        "0          892         0\n",
+        "1          893         0\n",
+        "2          894         0\n",
+        "3          895         0\n",
+        "4          896         0\n",
+        "5          897         0\n",
+        "6          898         0\n",
+        "7          899         0\n",
+        "8          900         1\n",
+        "9          901         0"
+       ]
+      }
+     ],
+     "prompt_number": 43
+    },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Write the results to csv:"
+     ]
+    },
+    {
+     "cell_type": "code",
+     "collapsed": false,
+     "input": [
+      "df_result.to_csv('../data/titanic/results-rf.csv', index=False)"
+     ],
+     "language": "python",
+     "metadata": {},
+     "outputs": [],
+     "prompt_number": 44
     }
    ],
    "metadata": {}