From db00f3d12baadb4e31b28ba8f271dcc1023f4a44 Mon Sep 17 00:00:00 2001
From: Dimple Kuriakose <123362247+k-dimple@users.noreply.github.com>
Date: Fri, 6 Dec 2024 00:22:37 +0530
Subject: [PATCH] Increase title underline to avoid a warning

---
 aws/aws-how-to/instances/data-science-stack-on-ec2.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/aws/aws-how-to/instances/data-science-stack-on-ec2.rst b/aws/aws-how-to/instances/data-science-stack-on-ec2.rst
index aed8ab5a..bc1e6fe1 100644
--- a/aws/aws-how-to/instances/data-science-stack-on-ec2.rst
+++ b/aws/aws-how-to/instances/data-science-stack-on-ec2.rst
@@ -1,5 +1,5 @@
 Deploy Canonical Data Science Stack on EC2 using a GPU-enabled instance type
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+============================================================================
 
 
 Canonical Data Science Stack (DSS) is a command line interface-based tool that bundles Jupyter Notebooks, MLflow and frameworks like PyTorch and TensorFlow on top of an orchestration layer, making this product excellent for rapid testing, prototyping and doing ML at a small scale.