From 90dc91cd3516eb1fe757f6bda75481cc864fafc4 Mon Sep 17 00:00:00 2001
From: "Andrea Telatin, M1" <15690844+telatin@users.noreply.github.com>
Date: Thu, 7 Mar 2024 14:28:06 +0000
Subject: [PATCH] links

---
 _posts/2023-03-01-machine-learning.md | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/_posts/2023-03-01-machine-learning.md b/_posts/2023-03-01-machine-learning.md
index cccb165056..ecd0aebcb0 100644
--- a/_posts/2023-03-01-machine-learning.md
+++ b/_posts/2023-03-01-machine-learning.md
@@ -35,3 +35,8 @@ An overview of what happens in genetic studies applying repectively: unsupervise
 * 7 March 2024, UGUG55B at 14.30 ([**registration link**](https://intranet.nbi.ac.uk/infoserv/cgi-bin/calendar/default.asp?id=66032))
   
 We will use a microbiome dataset to see how to import in python observations (microbiome compositions) and metadata, how to plot a PCA, perform a statistical test to identify interesting taxa, and using a machine learning approach, the Random Forest (already introduced at the Data Science group), to classify our samples.
+
+## Repository
+
+* This is a special session of the [QIB Data Science Group](https://github.com/quadram-institute-bioscience/datasciencegroup)
+* The code is available in a [Python notebook](https://gist.github.com/telatin/87477ec635b79ed5ecafc585a330c1c3)
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