新增2019靜宜資科演講

WJNL · May 7, 2019 · a35855a · a35855a
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commit a35855a
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Showing 12 changed files with 5,690 additions and 17 deletions.
diff --git a/11 機器學習概要.ipynb b/11 機器學習概要.ipynb
@@ -205,21 +205,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,\n",
-       "  decision_function_shape=None, degree=3, gamma='auto', kernel='rbf',\n",
-       "  max_iter=-1, probability=False, random_state=None, shrinking=True,\n",
-       "  tol=0.001, verbose=False)"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
+     "ename": "NameError",
+     "evalue": "name 'Y' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                     Traceback (most recent call last)",
+      "\u001b[0;32m<ipython-input-1-a6dc14188573>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mYb\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mY\u001b[0m\u001b[0;34m>\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m: name 'Y' is not defined"
+     ]
     }
    ],
    "source": [
@@ -825,7 +823,7 @@
  "metadata": {
   "anaconda-cloud": {},
   "kernelspec": {
-   "display_name": "Python [default]",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -839,7 +837,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.1"
+   "version": "3.6.7"
   }
  },
  "nbformat": 4,

diff --git a/2017手把手打開Python資料分析大門/附解答Notebooks/單元4 熊貓數據分析.ipynb b/2017手把手打開Python資料分析大門/附解答Notebooks/單元4 熊貓數據分析.ipynb
diff --git a/20180122-23世新大學/單元 4. 機器學習 101.ipynb b/20180122-23世新大學/單元 4. 機器學習 101.ipynb
@@ -58,7 +58,9 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "metadata": {},
+   "metadata": {
+    "collapsed": true
+   },
    "outputs": [],
    "source": [
     "X = np.random.rand(6)\n",

diff --git a/2019靜宜資科/Jupyter Notebook 在金融預測上的應用.ipynb b/2019靜宜資科/Jupyter Notebook 在金融預測上的應用.ipynb
diff --git a/2019靜宜資科/images/function_learning.png b/2019靜宜資科/images/function_learning.png
diff --git a/2019靜宜資科/images/open_jupyter.png b/2019靜宜資科/images/open_jupyter.png
diff --git a/2019靜宜資科/images/packages.png b/2019靜宜資科/images/packages.png
diff --git a/2019靜宜資科/images/shift_tab.png b/2019靜宜資科/images/shift_tab.png
diff --git a/2019靜宜資科/images/take_photo.png b/2019靜宜資科/images/take_photo.png
diff --git a/2019靜宜資科/images/title.png b/2019靜宜資科/images/title.png
diff --git a/2019靜宜資科/tw2330.pkl b/2019靜宜資科/tw2330.pkl
diff --git a/2019靜宜資科/人工智慧在金融預測上的應用.pdf b/2019靜宜資科/人工智慧在金融預測上的應用.pdf