Ensure all ML Notebooks have private feed.

Author: JakeRadMSFT

machine-learning/01-Intro to Machine Learning.ipynb

@@ -89,13 +89,14 @@
         }
       },
       "source": [
+        "#i \"nuget:https://pkgs.dev.azure.com/dnceng/public/_packaging/MachineLearning/nuget/v3/index.json\"\n",
         "#r \"nuget: Microsoft.ML, 2.0.0-preview.22356.1\""
       ],
       "outputs": [
         {
           "output_type": "execute_result",
           "data": {
-            "text/html": "<div><div></div><div></div><div><strong>Installed Packages</strong><ul><li><span>Microsoft.ML, 2.0.0-preview.22313.1</span></li></ul></div></div>"
+            "text/html": "<div><div></div><div></div><div><strong>Installed Packages</strong><ul><li><span>Microsoft.ML, 2.0.0-preview.22356.1</span></li></ul></div></div>"
           },
           "execution_count": 1,
           "metadata": {}
@@ -327,7 +328,7 @@
         {
           "output_type": "execute_result",
           "data": {
-            "text/plain": "Coefficient of determination for the trained model: 0.97\r\n"
+            "text/plain": "Coefficient of determination for the trained model: 0.98\r\n"
           },
           "execution_count": 1,
           "metadata": {}
@@ -378,7 +379,7 @@
         {
           "output_type": "execute_result",
           "data": {
-            "text/plain": "Predicted price for size: 2500 sq ft= $275.59k\r\n"
+            "text/plain": "Predicted price for size: 2500 sq ft= $274.48k\r\n"
           },
           "execution_count": 1,
           "metadata": {}

machine-learning/02-Data Preparation and Feature Engineering.ipynb

@@ -57,6 +57,7 @@
         }
       },
       "source": [
+        "#i \"nuget:https://pkgs.dev.azure.com/dnceng/public/_packaging/MachineLearning/nuget/v3/index.json\"\n",
         "#r \"nuget: Microsoft.ML, 2.0.0-preview.22356.1\""
       ],
       "outputs": [