diff --git a/lab-6-Personalize_your_Recommendations/personalize_sample_notebook.ipynb b/lab-6-Personalize_your_Recommendations/personalize_sample_notebook.ipynb
index ee122f5..b24a7ae 100644
--- a/lab-6-Personalize_your_Recommendations/personalize_sample_notebook.ipynb
+++ b/lab-6-Personalize_your_Recommendations/personalize_sample_notebook.ipynb
@@ -110,10 +110,11 @@
     "filename = \"DEMO-movie-lens-100k.csv\"              # file in S3 that will hold our model training data\n",
     "data = data[data['RATING'] > 3.6]                  # keep only movies rated 3.6 and above\n",
     "data = data[['USER_ID', 'ITEM_ID', 'TIMESTAMP']]   # select columns that match the columns in the schema below\n",
-    "data['TIMESTAMP'] = data['TIMESTAMP'] + 660833618  # make reviews end 1st April 2019 rather than 23rd April 1998\n",
+    "data['TIMESTAMP'] = data['TIMESTAMP'] + 705628800  # make reviews end 1st September 2020 rather than 23rd April 1998\n",
     "data.to_csv(filename, index=False)\n",
     "\n",
-    "boto3.Session().resource('s3').Bucket(bucket).Object(filename).upload_file(filename)"
+    "boto3.Session().resource('s3').Bucket(bucket).Object(filename).upload_file(filename)\n",
+    "data"
    ]
   },
   {
@@ -676,9 +677,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "conda_python3",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "conda_python3"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -690,7 +691,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.5"
+   "version": "3.8.5"
   }
  },
  "nbformat": 4,