diff --git a/kaggle/titanic.ipynb b/kaggle/titanic.ipynb
index 438a758..3b9409f 100644
--- a/kaggle/titanic.ipynb
+++ b/kaggle/titanic.ipynb
@@ -1,7 +1,7 @@
 {
  "metadata": {
   "name": "",
-  "signature": "sha256:c536f631f40b2ee6ad2ff384cb9076172d442d8b19019094b1af1a8657120e10"
+  "signature": "sha256:8faa925c9373212bcde3580896d60777b13a18934069bb0bec50503c01d983b0"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
@@ -2333,6 +2333,8 @@
      "cell_type": "markdown",
      "metadata": {},
      "source": [
+      "Feature enginering involves creating new features or modifying existing features which might be advantageous to a machine learning algorithm.\n",
+      "\n",
       "Define a new feature FamilySize that is the sum of Parch (number of parents or children on board) and SibSp (number of siblings or spouses):"
      ]
     },
@@ -2547,14 +2549,22 @@
      ],
      "prompt_number": 35
     },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "Based on the histograms, it is not immediately obvious what impact FamilySize has on survival.  The machine learning algorithms might benefit from this feature.\n",
+      "\n",
+      "Additional features we might want to engineer might be related to the Name column, for example honorrary or pedestrian titles might give clues and better predictive power for a male's survival."
+     ]
+    },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [],
      "language": "python",
      "metadata": {},
-     "outputs": [],
-     "prompt_number": 35
+     "outputs": []
     }
    ],
    "metadata": {}