Added bibliography

notebook_examples/dataset-data_load_and_model_training.ipynb

@@ -1,12 +1,25 @@
 {
  "cells": [
+  {
+   "cell_type": "raw",
+   "metadata": {},
+   "source": [
+    "@notebook{dataset-data_load_and_model_training.ipynb,\n",
+    "    title: Predicting Employee Attrition with ADS,\n",
+    "    summary: Predict employee attrition using exploratory data analysis, train a model, and save the model to the model catalog,\n",
+    "    developed_on: tensorflow28_p38_cpu_v1,\n",
+    "    keywords: data analysis, scikit-learn, \n",
+    "    license: Universal Permissive License v 1.0\n",
+    "}"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "<font color=gray>Oracle Cloud Infrastructure Data Science Demo Notebook\n",
     "\n",
-    "Copyright (c) 2021, 2023 Oracle, Inc.<br>\n",
+    "Copyright (c) 2021 Oracle, Inc.<br>\n",
     "Licensed under the Universal Permissive License v 1.0 as shown at https://oss.oracle.com/licenses/upl.\n",
     "</font>"
    ]
@@ -37,7 +50,7 @@
    "source": [
     "Let's do all of the imports necessary to get this notebook working up here.\n",
     "\n",
-    "**<font color='red'>NOTE: This notebook was run in the TensorFlow 2.7 for CPU (slug: `tensorflow27_p37_cpu_v1`) conda environment with ADS version 2.8.4. Upgrade your version of ADS (see cell below) and restart your kernel.</font>**"
+    "**<font color='red'>NOTE: This notebook was run in the TensorFlow 2.7 for CPU (slug: `tensorflow27_p37_cpu_v1`) conda environment with ADS version 2.5.10. Upgrade your version of ADS (see cell below) and restart your kernel.</font>**"
    ]
   },
   {
@@ -46,8 +59,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "!pip install oracle-ads==2.8.4\n",
-    "!pip install onnxconverter-common --upgrade"
+    "!pip install oracle-ads --upgrade --quiet\n",
+    "!pip install onnxconverter-common --upgrade -quiet"
    ]
   },
   {