diff --git a/02_activities/assignments/assignment_1.ipynb b/02_activities/assignments/assignment_1.ipynb
index e9ecb93f..0ca7965b 100644
--- a/02_activities/assignments/assignment_1.ipynb
+++ b/02_activities/assignments/assignment_1.ipynb
@@ -231,17 +231,6 @@
     "(iii) A second essential step is to set a random seed. Do so below (Hint: use the random.seed function). Why is setting a seed important? Is the particular seed value important? Why or why not?"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 59,
-   "id": "5ef2d5ad",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Do not touch\n",
-    "random.seed(123)"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "f0676c21",
@@ -262,15 +251,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
-   "id": "78a88a6e",
+   "execution_count": null,
+   "id": "72c101f2",
    "metadata": {},
    "outputs": [],
    "source": [
+    "# Do not touch\n",
+    "np.random.seed(123)\n",
     "# Create a random vector of True and False values to split the data\n",
-    "split = np.random.choice([True, False], size=len(predictors_standardized), replace=True, p=[0.75, 0.25])\n",
-    "\n",
-    "# Your code here..."
+    "split = np.random.choice([True, False], size=len(predictors_standardized), replace=True, p=[0.75, 0.25])"
    ]
   },
   {