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Commit 9cbe8ce5 authored by Hannes Sattler's avatar Hannes Sattler
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Update neues_notebook.ipynb

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...@@ -4,7 +4,7 @@ ...@@ -4,7 +4,7 @@
"cell_type": "markdown", "cell_type": "markdown",
"metadata": { "metadata": {
"editable": true, "editable": true,
"include": true, "include": false,
"paragraph": "Titel", "paragraph": "Titel",
"slideshow": { "slideshow": {
"slide_type": "" "slide_type": ""
...@@ -20,7 +20,7 @@ ...@@ -20,7 +20,7 @@
"cell_type": "markdown", "cell_type": "markdown",
"metadata": { "metadata": {
"editable": true, "editable": true,
"include": true, "include": false,
"paragraph": "Teaser", "paragraph": "Teaser",
"slideshow": { "slideshow": {
"slide_type": "" "slide_type": ""
...@@ -5121,8 +5121,15 @@ ...@@ -5121,8 +5121,15 @@
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.10.11" "version": "3.10.11"
}, },
"skipNotebookInDeployment": true, "repoLink": "",
"title": "Prediction Interest for car insurance" "dataSource": "https://www.kaggle.com/datasets/jassican/janatahack-crosssell-prediction",
"skipNotebookInDeployment": false,
"title": "Vorhersage für das Interesse an Auto Versicherungen",
"Teaser":[ "Ein bedeutendes Ziel für jedes Unternehmen ist die Umsatzsteigerung, Kostensenkung und Verbesserung der Kundenzufriedenheit. \n",
"Problematisch ist dabei oft die Identifikation potenzieller Interessenten für spezifische Produkte wie KFZ-Versicherungen. \n",
"Dieses Machine Learning Modell nutzt Kundendaten und Algorithmen, um die Wahrscheinlichkeit des Interesses präzise zu berechnen."
],
}, },
"nbformat": 4, "nbformat": 4,
"nbformat_minor": 4 "nbformat_minor": 4
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