tutorial corrections

Author: AndrewFalkowski

docs/curriculum/tutorials/batch/batch-fullybayesian.ipynb

@@ -11,17 +11,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Not running in Google Colab\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "try:\n",
     "    import google.colab\n",

docs/curriculum/tutorials/mobo/mobo.ipynb

@@ -11,17 +11,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Not running in Google Colab\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "try:\n",
     "    import google.colab\n",
@@ -531,7 +523,7 @@
     "\n",
     "Interested in taking this further? Try to implement the following on your own!\n",
     "\n",
-    "1. Apply a custom threshold on biodegradability and not how the density of points and the values of the pareto front change in response. Does focussing on a specific region find better points there?\n",
+    "1. Apply a custom threshold on biodegradability and note how the density of points and the values of the pareto front change in response. Does focussing on a specific region find better points there?\n",
     "\n",
     "2. Do the results change if you use a different random seed? How much? What does this imply about the consistency of this approach? "
    ]

docs/curriculum/tutorials/multitask/multitask.ipynb

@@ -11,17 +11,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Not running in Google Colab\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "try:\n",
     "    import google.colab\n",