diff --git a/Agriculture/Analysis of the movement and activity of free-ranging cattle/notebook.ipynb b/Agriculture/Analysis of the movement and activity of free-ranging cattle/notebook.ipynb
index d24b8b25767bcf5d36c080f5c5553e09a34a2d2b..85c29084e218f7b5c7102e0d9fe050241c3fd61a 100644
--- a/Agriculture/Analysis of the movement and activity of free-ranging cattle/notebook.ipynb	
+++ b/Agriculture/Analysis of the movement and activity of free-ranging cattle/notebook.ipynb	
@@ -29616,10 +29616,10 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.8.9"
   },
   "repoLink": "https://gitlab.reutlingen-university.de/ki_lab/machine-learning-services/-/tree/main/Agriculture/Analysis%20of%20the%20movement%20and%20activity%20of%20free-ranging%20cattle",
-  "skipNotebookInDeployment": false,
+  "skipNotebookInDeployment": true,
   "teaser": "To be done",
   "title": "Analyse der Bewegungsprofile von Kühen auf dem Feld"
  },
diff --git a/Agriculture/Analysis of the movement and activity of free-ranging cattle/workingsheet.ipynb b/Agriculture/Analysis of the movement and activity of free-ranging cattle/workingsheet.ipynb
index 6b5f60a9edc23a97885af4ae573e4838c00842c4..25cbac80c624141da52740445f43c60ca521859c 100644
--- a/Agriculture/Analysis of the movement and activity of free-ranging cattle/workingsheet.ipynb	
+++ b/Agriculture/Analysis of the movement and activity of free-ranging cattle/workingsheet.ipynb	
@@ -819,7 +819,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.8.9"
   }
  },
  "nbformat": 4,
diff --git a/CRM/Increase customer satisfaction/notebook.ipynb b/CRM/Increase customer satisfaction/notebook.ipynb
index 02aeb80212f81a2616124c4875fda441163a3ca7..e4d64f3e3084655333b4f52caec676f463c60f9b 100644
--- a/CRM/Increase customer satisfaction/notebook.ipynb	
+++ b/CRM/Increase customer satisfaction/notebook.ipynb	
@@ -4499,10 +4499,10 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.2"
+   "version": "3.8.9"
   },
   "repoLink": "https://gitlab.reutlingen-university.de/ki_lab/machine-learning-services/-/tree/main/CRM/Increase%20customer%20satisfaction?ref_type=heads",
-  "skipNotebookInDeployment": false,
+  "skipNotebookInDeployment": true,
   "teaser": "Aufgrund der großen Auswahl, die Netflix zu bieten hat, ist es für die Nutzer schwierig, geeignete Filme für sich zu finden. Die Suche in der Bibliothek nimmt viel Zeit in Anspruch und schafft ein schlechtes Nutzererlebnis, was wiederum zu höheren Abbruchquoten führt. Um die Abbruchquoten zu senken, muss geprüft werden, ob die Kundenzufriedenheit durch die Anwendung von maschinellem Lernen in Bezug auf Filmempfehlungen erhöht werden kann.",
   "title": "Erhöhung der Kundenzufriedenheit"
  },
diff --git a/Health/Risk prediction of heart disease/notebook.ipynb b/Health/Risk prediction of heart disease/notebook.ipynb
index 8afd1260d0d52557b6cb91d87e792c41f7e46fc3..9a155aea91b7db02d342cbb6994b7dc21b175eaa 100644
--- a/Health/Risk prediction of heart disease/notebook.ipynb	
+++ b/Health/Risk prediction of heart disease/notebook.ipynb	
@@ -3973,10 +3973,10 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.2"
+   "version": "3.8.9"
   },
   "repoLink": "https://gitlab.reutlingen-university.de/ki_lab/machine-learning-services/-/tree/main/Health/Risk%20prediction%20of%20heart%20disease",
-  "skipNotebookInDeployment": false,
+  "skipNotebookInDeployment": true,
   "teaser": "Mit der Vorhersage des Risikos einer koronaren Herzkrankheit können frühzeitig Maßnahmen für den Patienten ergriffen werden, um die spätere Erkrankung im besten Fall zu vermeiden.",
   "title": "Risikovorhersage von Herzkrankheiten"
  },
diff --git a/Insurance/Predicting mental illness for health insurance/notebook.ipynb b/Insurance/Predicting mental illness for health insurance/notebook.ipynb
index 9c8add12f5859cbd972fa42c08f129ae54f66a83..2a912abded6f5fc70e210d418b71ae50a678481f 100644
--- a/Insurance/Predicting mental illness for health insurance/notebook.ipynb	
+++ b/Insurance/Predicting mental illness for health insurance/notebook.ipynb	
@@ -10796,7 +10796,6 @@
   "branche": "Finanzwirtschaft",
   "dataSource": "https://www.kaggle.com/osmi/mental-health-in-tech-survey/data",
   "funktion": "Risikomanagement",
-  "repoLink" : "https://gitlab.reutlingen-university.de/ki_lab/machine-learning-services/-/tree/main/Insurance/Predicting%20mental%20illness%20for%20health%20insurance?ref_type=heads",
   "kernelspec": {
    "display_name": "Python 3 (ipykernel)",
    "language": "python",
@@ -10812,9 +10811,10 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.2"
+   "version": "3.8.9"
   },
-  "skipNotebookInDeployment": false,
+  "repoLink": "https://gitlab.reutlingen-university.de/ki_lab/machine-learning-services/-/tree/main/Insurance/Predicting%20mental%20illness%20for%20health%20insurance?ref_type=heads",
+  "skipNotebookInDeployment": true,
   "teaser": "Die New York Life Insurance Company, ein globales Versicherungsunternehmen, erwägt eine Erweiterung des Geschäftsmodells, um zukünftig nicht nur körperliche, sondern auch psychische Erkrankungen zu versichern.",
   "title": "Notebook zur Vorhersage von psychischen Erkrankungen für die Krankenkasse"
  },
diff --git a/Marketing/Generation of Individual Playlists/notebook.ipynb b/Marketing/Generation of Individual Playlists/notebook.ipynb
index 7365331c0de31fd488b5ba36a13081bf9f4a44bf..236545c44f6174716d5a3edd7eaca6afe334c8a4 100644
--- a/Marketing/Generation of Individual Playlists/notebook.ipynb	
+++ b/Marketing/Generation of Individual Playlists/notebook.ipynb	
@@ -1583,8 +1583,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.7"
+   "version": "3.8.9"
   },
+  "skipNotebookInDeployment": true,
   "title": "Generation of Individual Playlists"
  },
  "nbformat": 4,