diff --git a/UFCFVQ-15-M Programming Task 2 Template.ipynb b/UFCFVQ-15-M Programming Task 2 Template.ipynb
index 798506c3c1c88300f4bb54c7774725949d65a987..be5962fb51616ad8be6e9e1289178b6a42f83bae 100644
--- a/UFCFVQ-15-M Programming Task 2 Template.ipynb	
+++ b/UFCFVQ-15-M Programming Task 2 Template.ipynb	
@@ -19,7 +19,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -73,7 +73,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -121,7 +121,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -182,7 +182,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
@@ -231,11 +231,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 28,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   Unnamed: 0  id_student gender age_band disability  score  click_events\n",
+      "0           0       11391      M     55<=          N   82.0         934.0\n",
+      "1           1       28400      F    35-55          N   67.0        1435.0\n",
+      "2           2       31604      F    35-55          N   76.0        2158.0\n",
+      "3           3       32885      F     0-35          N   55.0        1034.0\n",
+      "4           4       38053      M    35-55          N   68.0        2445.0\n"
+     ]
+    }
+   ],
    "source": [
-    "# add code here"
+    "# Removing unnecessary rows from 'cleaned_data_frame' by using 'drop' method.\n",
+    "# The result will be stored in 'final_data_frame', which no longer includes 'region', 'final_result', 'highest_education' columns.\n",
+    "\n",
+    "final_data_frame = cleaned_data_frame.drop(columns=['region', 'final_result', 'highest_education'])\n",
+    "\n",
+    "# Displaying the Final DataFrame\n",
+    "\n",
+    "print(final_data_frame.head())\n"
    ]
   },
   {
@@ -255,7 +275,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -279,7 +299,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -303,7 +323,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -327,7 +347,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -351,7 +371,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -375,7 +395,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [