Updated notebook

Author: paul-dave80

jupyter/anomaly_detection_creditcard.ipynb

@@ -59,10 +59,22 @@
     "| Endpoint | Enables real-time predictions |\n",
     "| Monitoring | Tracks model performance |\n",
     "\n",
-    "### Requirements\n",
     "\n",
-    "1. You should already have created an Azure account, and created a [Subscription](https://techcommunity.microsoft.com/discussions/azure/understanding-azure-account-subscription-and-directory-/34800) and a [Workspace](https://learn.microsoft.com/en-us/azure/machine-learning/concept-workspace?view=azureml-api-2).\n",
-    "2. this exercise assumes that you've already downloaded the [Credit Card Fraud Detection](https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud) dataset from kaggle, and stored this in 'Assets -> Data' inside your Azure account under the name, 'creditcard_fraud'.**\n",
+    "## Workflow Overview\n",
+    "\n",
+    "The system follows these steps:\n",
+    "\n",
+    "1. Load transaction data  \n",
+    "2. Clean and prepare the data  \n",
+    "3. Process features  \n",
+    "4. Train the model  \n",
+    "5. Evaluate performance  \n",
+    "6. Prepare for deployment  \n",
+    "\n",
+    "Each step improves accuracy and reduces false alerts.\n",
+    "\n",
+    "\n",
+    "\n",
     "\n",
     "### About Jupyter Notebooks\n",
     "\n",