From 8038c70accfff13e78e71e87ae9ec849e483d2c7 Mon Sep 17 00:00:00 2001
From: shilpa nalkande <shilpa.nalkande@teradata.com>
Date: Thu, 24 Jul 2025 07:47:48 +0000
Subject: [PATCH 1/2] Added teradataml upgrade install at the start

---
 ...cial_Fraud_Detection_AutoML_Approach.ipynb | 26 +++++++++++++++++++
 ...Fraud_Detection_Traditional_Approach.ipynb | 26 +++++++++++++++++++
 2 files changed, 52 insertions(+)

diff --git a/UseCases/Teradata_End_to_End_Demos/Financial_Fraud_Detection/Financial_Fraud_Detection_AutoML_Approach.ipynb b/UseCases/Teradata_End_to_End_Demos/Financial_Fraud_Detection/Financial_Fraud_Detection_AutoML_Approach.ipynb
index 4931f75a..6bed4895 100644
--- a/UseCases/Teradata_End_to_End_Demos/Financial_Fraud_Detection/Financial_Fraud_Detection_AutoML_Approach.ipynb
+++ b/UseCases/Teradata_End_to_End_Demos/Financial_Fraud_Detection/Financial_Fraud_Detection_AutoML_Approach.ipynb
@@ -52,6 +52,32 @@
     "<p style = 'font-size:16px;font-family:Arial'>Here, we import the required libraries, set environment variables and environment paths (if required).</p>"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%capture\n",
+    "!pip install --upgrade teradataml"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<p style = 'font-size:16px;font-family:Arial'>Enterprise Feature Store is new feature added in teradataml 20.0.0.3 so we are upgrading the installed teradataml version"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-block alert-info\">\n",
+    "<p style = 'font-size:16px;font-family:Arial'><b>Note: </b><i>Please restart the kernel after executing the above command to bring the upgraded library into memory. The simplest way to restart the Kernel is by typing zero zero: <b> 0 0</b></i></p>\n",
+    "</div>"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
diff --git a/UseCases/Teradata_End_to_End_Demos/Financial_Fraud_Detection/Financial_Fraud_Detection_Traditional_Approach.ipynb b/UseCases/Teradata_End_to_End_Demos/Financial_Fraud_Detection/Financial_Fraud_Detection_Traditional_Approach.ipynb
index bd968bf5..f8eb5ce0 100644
--- a/UseCases/Teradata_End_to_End_Demos/Financial_Fraud_Detection/Financial_Fraud_Detection_Traditional_Approach.ipynb
+++ b/UseCases/Teradata_End_to_End_Demos/Financial_Fraud_Detection/Financial_Fraud_Detection_Traditional_Approach.ipynb
@@ -55,6 +55,32 @@
     "<p style = 'font-size:16px;font-family:Arial'>Here, we import the required libraries, set environment variables and environment paths (if required).</p>"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%capture\n",
+    "!pip install --upgrade teradataml"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<p style = 'font-size:16px;font-family:Arial'>Enterprise Feature Store is new feature added in teradataml 20.0.0.3 so we are upgrading the installed teradataml version"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-block alert-info\">\n",
+    "<p style = 'font-size:16px;font-family:Arial'><b>Note: </b><i>Please restart the kernel after executing the above command to bring the upgraded library into memory. The simplest way to restart the Kernel is by typing zero zero: <b> 0 0</b></i></p>\n",
+    "</div>"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,

From ba02e56fe5f65f179e5ea268e5a2ff485518b7f9 Mon Sep 17 00:00:00 2001
From: shilpa nalkande <shilpa.nalkande@teradata.com>
Date: Wed, 1 Oct 2025 07:29:34 +0000
Subject: [PATCH 2/2] Updated the teradataml versions for execution of EFS

---
 .../Financial_Fraud_Detection_AutoML_Approach.ipynb        | 7 +++++--
 .../Financial_Fraud_Detection_Traditional_Approach.ipynb   | 5 +++--
 2 files changed, 8 insertions(+), 4 deletions(-)

diff --git a/UseCases/Teradata_End_to_End_Demos/Financial_Fraud_Detection/Financial_Fraud_Detection_AutoML_Approach.ipynb b/UseCases/Teradata_End_to_End_Demos/Financial_Fraud_Detection/Financial_Fraud_Detection_AutoML_Approach.ipynb
index 6bed4895..79ea6926 100644
--- a/UseCases/Teradata_End_to_End_Demos/Financial_Fraud_Detection/Financial_Fraud_Detection_AutoML_Approach.ipynb
+++ b/UseCases/Teradata_End_to_End_Demos/Financial_Fraud_Detection/Financial_Fraud_Detection_AutoML_Approach.ipynb
@@ -55,11 +55,14 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "%%capture\n",
-    "!pip install --upgrade teradataml"
+    "!pip install teradataml==20.0.0.5 \n",
+    "!pip install teradatasqlalchemy==20.0.0.5"
    ]
   },
   {
diff --git a/UseCases/Teradata_End_to_End_Demos/Financial_Fraud_Detection/Financial_Fraud_Detection_Traditional_Approach.ipynb b/UseCases/Teradata_End_to_End_Demos/Financial_Fraud_Detection/Financial_Fraud_Detection_Traditional_Approach.ipynb
index f8eb5ce0..db156b89 100644
--- a/UseCases/Teradata_End_to_End_Demos/Financial_Fraud_Detection/Financial_Fraud_Detection_Traditional_Approach.ipynb
+++ b/UseCases/Teradata_End_to_End_Demos/Financial_Fraud_Detection/Financial_Fraud_Detection_Traditional_Approach.ipynb
@@ -61,8 +61,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%%capture\n",
-    "!pip install --upgrade teradataml"
+    "# %%capture\n",
+    "!pip install teradataml==20.0.0.5\n",
+    "!pip install teradatasqlalchemy==20.0.0.5"
    ]
   },
   {