deploy: 656df1b

ocademy-ai · Dec 22, 2023 · 61b83f2 · 61b83f2
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diff --git a/_images/gradient-descent_19_1.png b/_images/gradient-descent_19_1.png
diff --git a/_images/kernel-method_32_0.png b/_images/kernel-method_32_0.png
diff --git a/_images/kernel-method_39_1.png b/_images/kernel-method_39_1.png
diff --git a/_images/tools-of-the-trade_29_0.png b/_images/tools-of-the-trade_29_0.png
diff --git a/_images/visualization-relationships_12_0.png b/_images/visualization-relationships_12_0.png
diff --git a/_images/visualization-relationships_16_0.png b/_images/visualization-relationships_16_0.png
diff --git a/_images/visualization-relationships_18_1.png b/_images/visualization-relationships_18_1.png
diff --git a/_images/visualization-relationships_20_0.png b/_images/visualization-relationships_20_0.png
diff --git a/_sources/assignments/data-science/analyzing-COVID-19-papers.ipynb b/_sources/assignments/data-science/analyzing-COVID-19-papers.ipynb
@@ -43,7 +43,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "df = pd.read_csv(\"FILE_PATH_TO_metadata.csv\")\n",
+    "df = pd.read_csv(\n",
+    "    \"https://static-1300131294.cos.ap-shanghai.myqcloud.com/data/data-science/metadata.csv\"\n",
+    ")\n",
     "df.head()"
    ]
   },
@@ -402,7 +404,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.7"
+   "version": "3.7.16"
   },
   "vscode": {
    "interpreter": {

diff --git a/_sources/assignments/data-science/analyzing-data.ipynb b/_sources/assignments/data-science/analyzing-data.ipynb
@@ -17,8 +17,8 @@
     "import pandas as pd\n",
     "import glob\n",
     "\n",
-    "#Loading the dataset\n",
-    "path = '../../data/emails.csv'\n",
+    "# Loading the dataset\n",
+    "path = \"https://static-1300131294.cos.ap-shanghai.myqcloud.com/data/data-science/emails.csv\"\n",
     "email_df = pd.read_csv(path)"
    ]
   },

diff --git a/_sources/assignments/deep-learning/tensorflow/intro_to_tensorflow_for_deeplearning.ipynb b/_sources/assignments/deep-learning/tensorflow/intro_to_tensorflow_for_deeplearning.ipynb
@@ -8,7 +8,6 @@
     "id": "304ad719"
    },
    "source": [
-    "<a name='0'></a>\n",
     "# Intro to TensorFlow for Deep Learning"
    ]
   },

diff --git a/_sources/assignments/machine-learning-productionization/debugging-in-classification.ipynb b/_sources/assignments/machine-learning-productionization/debugging-in-classification.ipynb
@@ -93,7 +93,7 @@
         "\n",
         "# Load data\n",
         "mnistDf_backup = pd.read_csv(\n",
-        "  \"https://download.mlcc.google.com/mledu-datasets/mnist_train_small.csv\",\n",
+        "  \"https://static-1300131294.cos.ap-shanghai.myqcloud.com/data/mnist_train_small.csv\",\n",
         "  sep=\",\",\n",
         "  header=None)\n",
         "# Shuffle data\n",

diff --git a/_sources/assignments/machine-learning-productionization/debugging-in-regression.ipynb b/_sources/assignments/machine-learning-productionization/debugging-in-regression.ipynb
@@ -92,7 +92,7 @@
         "pd.options.display.float_format = '{:.1f}'.format\n",
         "\n",
         "wineDf = pd.read_csv(\n",
-        "  \"https://download.mlcc.google.com/mledu-datasets/winequality.csv\",\n",
+        "  \"https://static-1300131294.cos.ap-shanghai.myqcloud.com/data/winequality.csv\",\n",
         "  encoding='latin-1')\n",
         "wineDf.columns = ['fixed acidity','volatile acidity','citric acid',\n",
         "                     'residual sugar','chlorides','free sulfur dioxide',\n",

diff --git a/_sources/assignments/ml-fundamentals/create-a-regression-model.ipynb b/_sources/assignments/ml-fundamentals/create-a-regression-model.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "7f8c5d9c",
+   "id": "ffe91a20",
    "metadata": {},
    "source": [
     "# Create a regression model\n",

diff --git a/_sources/assignments/ml-fundamentals/exploring-visualizations.ipynb b/_sources/assignments/ml-fundamentals/exploring-visualizations.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "54030063",
+   "id": "f38f7776",
    "metadata": {},
    "source": [
     "# Exploring visualizations\n",

diff --git a/_sources/assignments/ml-fundamentals/parameter-play.ipynb b/_sources/assignments/ml-fundamentals/parameter-play.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "1407fd89",
+   "id": "1798d5b8",
    "metadata": {},
    "source": [
     "# Parameter play\n",

diff --git a/_sources/assignments/ml-fundamentals/regression-with-scikit-learn.ipynb b/_sources/assignments/ml-fundamentals/regression-with-scikit-learn.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "6f86010f",
+   "id": "00646e5e",
    "metadata": {},
    "source": [
     "# Regression with Scikit-learn\n",

diff --git a/_sources/assignments/ml-fundamentals/retrying-some-regression.ipynb b/_sources/assignments/ml-fundamentals/retrying-some-regression.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "63285526",
+   "id": "6a8e2a7e",
    "metadata": {},
    "source": [
     "# Retrying some regression\n",