From cdc6207fd759a28bf715a98e85688cd7e1c55bf5 Mon Sep 17 00:00:00 2001
From: dmitryvinn <dmitryvinn@gmail.com>
Date: Tue, 22 Feb 2022 09:30:13 -0800
Subject: [PATCH] Adding ELI5 video

---
 docs/css/main.scss | 4 ++++
 docs/index.md      | 5 +++++
 2 files changed, 9 insertions(+)

diff --git a/docs/css/main.scss b/docs/css/main.scss
index ab3c4f3..1a752ae 100644
--- a/docs/css/main.scss
+++ b/docs/css/main.scss
@@ -147,3 +147,7 @@ h5:hover .header-link,
 h6:hover .header-link {
   opacity: 1;
 }
+
+.videoBlock {
+	text-align: center;
+  }
diff --git a/docs/index.md b/docs/index.md
index 693e958..fe16238 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -3,6 +3,11 @@ layout: home
 title: Prophet
 id: home
 ---
+## Watch Introductory Video
+
+<div class="videoBlock">
+    <iframe width="560" height="315" src="https://www.youtube.com/embed/eJrbKU09h-0" title="Explain Like I'm 5: Prophet" frameBorder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowFullScreen ></iframe>
+</div>
 
 Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well.