Added pyodbc as pre-reqs

Author: dphansen

articles/sql-database-edge/deploy-onnx.md

@@ -9,7 +9,7 @@ ms.topic: conceptual
 author: ronychatterjee
 ms.author: achatter
 ms.reviewer: davidph 
-ms.date: 03/11/2020
+ms.date: 03/26/2020
 ---
 
 # Deploy and make predictions with an ONNX model in SQL Database Edge Preview
@@ -28,7 +28,7 @@ This quickstart is based on **scikit-learn** and uses the [Boston Housing datase
 
     1. Open [New Notebook](https://docs.microsoft.com/sql/azure-data-studio/sql-notebooks) connected to the Python 3 Kernel. 
     1. Click **Manage Packages** and under **Add New**, search for **scikit-learn**, and install the scikit-learn package. 
-    1. Also, install the **setuptools**, **numpy**, **onnxmltools**, **onnxruntime**, **skl2onnx**, and **sqlalchemy** packages.
+    1. Also, install the **setuptools**, **numpy**, **onnxmltools**, **onnxruntime**, **skl2onnx**, **pyodbc**, and **sqlalchemy** packages.
 
 * For each script part below, enter it in a cell in the Azure Data Studio notebook and run the cell.