Fixed a Typo in referencing iris dataset

07_0_MachineLearning_Data.ipynb

@@ -722,7 +722,7 @@
    },
    "outputs": [],
    "source": [
-    "mask = d.target == 0\n",
+    "mask = iris.target == 0\n",
     "sepals = data[:,0:2]"
    ]
   },
@@ -738,9 +738,9 @@
    "outputs": [],
    "source": [
     "# Creating Data\n",
-    "c1 = sepals[d.target == 0]\n",
-    "c2 = sepals[d.target == 1]\n",
-    "c3 = sepals[d.target == 2]"
+    "c1 = sepals[iris.target == 0]\n",
+    "c2 = sepals[iris.target == 1]\n",
+    "c3 = sepals[iris.target == 2]"
    ]
   },
   {
@@ -929,17 +929,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 107,
+   "execution_count": 1,
    "metadata": {
-    "collapsed": true,
+    "collapsed": false,
     "slideshow": {
      "slide_type": "subslide"
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(numpy.ndarray, numpy.ndarray)"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "from sklearn.datasets import make_blobs\n",
-    "blobs, classes = make_blobs(500, centers=3)"
+    "blobs, classes = make_blobs(500, centers=3)\n",
+    "\n",
+    "type(blobs), type(classes)"
    ]
   },
   {