diff --git a/01.01 python 基础.ipynb b/01.01 python 基础.ipynb
index 1e1a307..a0a6950 100644
--- a/01.01 python 基础.ipynb
+++ b/01.01 python 基础.ipynb
@@ -305,7 +305,8 @@
    "source": [
     "line = \"1 2 3 4  5\"\n",
     "numbers = line.split()\n",
-    "print (numbers)"
+    "print (numbers)\n",
+    "type(numbers)"
    ]
   },
   {
@@ -801,20 +802,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "a = [10, 11, 12, 13, 11]\n",
     "a.index(11)"
@@ -829,20 +819,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "2"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "a = [10, 11, 12, 13, 11]\n",
     "a.count(11)"
diff --git a/01.03 机器学习常用的包.ipynb b/01.03 机器学习常用的包.ipynb
index 1ec596a..9e23395 100644
--- a/01.03 机器学习常用的包.ipynb
+++ b/01.03 机器学习常用的包.ipynb
@@ -860,18 +860,14 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "运算|函数|\n",
-    "--- | --- \n",
+    "运算符|函数|\n",
+    ":---: | :---: \n",
     "`==` | `equal`\n",
     "`!=` | `not_equal`\n",
     "`>` | `greater`\n",
     "`>=` | `greater_equal`\n",
     "`<` | `less`\n",
     "`<=` | `less_equal`\n",
-    "`^` | `bitwise_xor`\n",
-    "`~` | `invert`\n",
-    "`>>` | `right_shift`\n",
-    "`<<` | `left_shift`\n",
     "\n",
     "数组元素的比对，我们可以直接使用运算符进行比较，比如判断数组中元素是否大于某个数："
    ]
@@ -937,7 +933,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "比如判断数组某个区间的元素是否存在大于 `20`:"
+    "比如判断数组某个区间的元素是否存在大于 `20`的元素:"
    ]
   },
   {
@@ -960,31 +956,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "读写各种格式的文件，如下表所示：\n",
-    "\n",
-    "文件格式|使用的包|函数\n",
-    "----|----|----\n",
-    "txt | numpy | loadtxt, genfromtxt, fromfile, savetxt, tofile\n",
-    "csv | csv | reader, writer\n",
-    "Matlab | scipy.io | loadmat, savemat\n",
-    "hdf | pytables, h5py| \n",
-    "NetCDF | netCDF4, scipy.io.netcdf | netCDF4.Dataset, scipy.io.netcdf.netcdf_file\n",
-    "**文件格式**|**使用的包**|**备注**\n",
-    "wav | scipy.io.wavfile | 音频文件\n",
-    "jpeg,png,...| PIL, scipy.misc.pilutil | 图像文件\n",
-    "fits | pyfits | 天文图像\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
     "`savetxt` 可以将数组写入文件，默认使用科学计数法的形式保存："
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1534,8 +1511,8 @@
     "<img src=\"http://imgbed.momodel.cn/scikitlearn.png\" width=300 />\n",
     "\n",
     "+ **Python** 语言的机器学习工具\n",
-    "+ `Scikit-learn` 包括许多知名的机器学习算法的实现\n",
-    "+ `Scikit-learn` 文档完善，容易上手，丰富的 `API`"
+    "+ `Scikit-learn` 包括大量常用的机器学习算法\n",
+    "+ `Scikit-learn` 文档完善，容易上手"
    ]
   },
   {
@@ -1803,10 +1780,10 @@
     "\n",
     "划分比例：\n",
     "+ 训练集：70% 80% 75%\n",
-    "+ 测试集：30% 20% 30%\n",
+    "+ 测试集：30% 20% 25%\n",
     "\n",
     "<br>\n",
-    "`sklearn.model_selection.train_test_split(arrays, *options)`\n",
+    "`sklearn.model_selection.train_test_split(x, y, test_size, random_state )`\n",
     "   +  `x`：数据集的特征值\n",
     "   +  `y`： 数据集的标签值\n",
     "   +  `test_size`： 如果是浮点数，表示测试集样本占比；如果是整数，表示测试集样本的数量。\n",