From f6d48637fcd96f80a77c35843e56805ade7f60be Mon Sep 17 00:00:00 2001
From: fverac <fabiovera@microsoft.com>
Date: Wed, 29 Nov 2023 09:27:08 -0800
Subject: [PATCH] add econml v0.15 youtube video (#19)

Signed-off-by: Fabio Vera <fabiovera@microsoft.com>
---
 _community_videos/02_talk_series.md | 18 ++++++++++++++++++
 1 file changed, 18 insertions(+)
 create mode 100644 _community_videos/02_talk_series.md

diff --git a/_community_videos/02_talk_series.md b/_community_videos/02_talk_series.md
new file mode 100644
index 0000000..258c4c4
--- /dev/null
+++ b/_community_videos/02_talk_series.md
@@ -0,0 +1,18 @@
+---
+title: EconML library and what's new in v0.15
+slug: pywhy-video
+layout: page
+description: >-
+  PyWhy Causality in Practice - EconML library and what's new in v0.15 
+summary: >-
+
+  EconML is a Python package that implements several cutting-edge causal inference estimators on top of flexible machine learning methods. In this talk, Keith Battocchi, software engineer at Microsoft Research New England and lead developer for EconML, presents a brief overview of EconML followed by a closer look at several big new features in EconML 0.15.
+  <br>
+  <br>
+
+  <iframe width="800" height="450" src="https://www.youtube.com/embed/66LBrNG2un0?si=6nDtEKbEDK5r_YFP" 
+  title="YouTube video player" frameborder="0" allow="accelerometer; autoplay;
+  clipboard-write; encrypted-media; gyroscope; picture-in-picture; 
+  web-share" allowfullscreen></iframe>
+
+---