From 9331df86ea7d194654076d3dafee024c7b46f56d Mon Sep 17 00:00:00 2001
From: kavurivk <44535841+kavurivk@users.noreply.github.com>
Date: Tue, 1 Jan 2019 04:33:10 -0500
Subject: [PATCH] Added Scikit learn logo (#30733)

---
 guide/english/data-science-tools/scikit/index.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/guide/english/data-science-tools/scikit/index.md b/guide/english/data-science-tools/scikit/index.md
index a9e8fa7a1a..9cb8ac986d 100644
--- a/guide/english/data-science-tools/scikit/index.md
+++ b/guide/english/data-science-tools/scikit/index.md
@@ -3,6 +3,8 @@ title: scikit-learn
 ---
 ## Scikit-learn
 
+![scikit-learn logo](http://scikit-learn.org/stable/_static/scikit-learn-logo-small.png)
+
 Scikit-learn is a popular open-source machine learning library for Python, built off of previous packages like numpy and scipy. There is code available to handle everything from importing data and data cleaning to model preparation and testing. 
 
 The library contains algorithms for both supervised and unsupervised learning, which can be easily integrated into your own code. Furthermore, many other helpful tools are offered which support model selection (e.g. Cross Validation or Grid Search) or data preparation (e.g. normalization, creation of categorical features).