Update Day 1_Data_Preprocessing.ipynb

Code/Day 1_Data_Preprocessing.ipynb

@@ -19,7 +19,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -42,10 +52,6 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
    "source": [
     "from sklearn.preprocessing import OneHotEncoder\n",
     "enc = OneHotEncoder(handle_unknown='ignore')\n",
@@ -63,16 +69,19 @@
     ">>> enc.get_feature_names(['gender', 'group'])\n",
     "array(['gender_Female', 'gender_Male', 'group_1', 'group_2', 'group_3'],\n",
     "  dtype=object)"
-   ]
+   ],
-  },
-  {
    "cell_type": "code",
-   "execution_count": 4,
    "metadata": {},
-   "outputs": [],
+   "execution_count": 11,
-   "source": [
+   "outputs": [
-    "import numpy as np\n",
+    {
-    "import pandas as pd"
+     "output_type": "error",
+     "ename": "SyntaxError",
+     "evalue": "invalid syntax (<ipython-input-11-44f585aeb41d>, line 4)",
+     "traceback": [
+      "\u001b[1;36m  File \u001b[1;32m\"<ipython-input-11-44f585aeb41d>\"\u001b[1;36m, line \u001b[1;32m4\u001b[0m\n\u001b[1;33m    >>> enc.fit(X)\u001b[0m\n\u001b[1;37m    ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid syntax\n"
+     ]
+    }
    ]
   },
   {
@@ -85,7 +94,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -120,7 +129,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -161,7 +170,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -202,7 +211,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -238,7 +247,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -268,15 +277,6 @@
    "source": [
     "<b>完整的项目请前往Github项目<a href=\"https://github.com/MachineLearning100/100-Days-Of-ML-Code\">100-Days-Of-ML-Code</a>查看。有任何的建议或者意见欢迎在issue中提出~</b>"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {