future_encoder.py를 사용한 셀을 명확하게 표현함

02_end_to_end_machine_learning_project.ipynb

@@ -3485,19 +3485,33 @@
     "    ])"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### future_encoders.py를 사용한 방법 =========================="
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# future_encoders.py를 사용한 방법\n",
+    "\n",
     "cat_pipeline = Pipeline([\n",
     "        ('selector', DataFrameSelector(cat_attribs)),\n",
     "        ('cat_encoder', OneHotEncoder(sparse=False)),\n",
     "    ])"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### ===================================================="
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 75,