From 42f8a50c22f0b351c8e8639c07b9a5556ed862d7 Mon Sep 17 00:00:00 2001 From: Jen Looper Date: Wed, 26 May 2021 12:51:42 -0400 Subject: [PATCH] Update README.md --- TimeSeries/README.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/TimeSeries/README.md b/TimeSeries/README.md index c312c981e..804be02ae 100644 --- a/TimeSeries/README.md +++ b/TimeSeries/README.md @@ -4,9 +4,11 @@ In these two lessons, you will be introduced to Time Series Forecasting, a somewhat lesser known area of Machine Learning that is nevertheless extremely valuable for industry and business applications, among other fields. While neural networks can be used to enhance the utility of these models, we will study them in the context of classical machine learning as models help predict future performance based on the past. -![electric-grid](images/electric-grid.jpg) +Our regional focus is electrical usage in the world, an interesting dataset to learn about forecasting future usage based on past load. -Photo by Peddi Sai hrithik on Unsplash +![electric-grid](electric-grid.jpg) + +Photo by Peddi Sai hrithik of electrical towers on a road in Rajasthan on Unsplash ## Lessons