From e6a91a948be94972972991a6d7ab264e5d6bd386 Mon Sep 17 00:00:00 2001 From: Jen Looper Date: Wed, 28 Jul 2021 23:23:07 -0400 Subject: [PATCH] Update README.md --- 2-Regression/2-Data/README.md | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/2-Regression/2-Data/README.md b/2-Regression/2-Data/README.md index 2c7f23adc..03d17fe7e 100644 --- a/2-Regression/2-Data/README.md +++ b/2-Regression/2-Data/README.md @@ -1,10 +1,13 @@ # Build a regression model using Scikit-learn: prepare and visualize data -> ![Data visualization infographic](./images/data-visualization.png) -> Infographic by [Dasani Madipalli](https://twitter.com/dasani_decoded) +![Data visualization infographic](./images/data-visualization.png) + +Infographic by [Dasani Madipalli](https://twitter.com/dasani_decoded) ## [Pre-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/11/) +> ### [This lesson is available in R!](../solution/lesson_2-R.ipynb) + ## Introduction Now that you are set up with the tools you need to start tackling machine learning model building with Scikit-learn, you are ready to start asking questions of your data. As you work with data and apply ML solutions, it's very important to understand how to ask the right question to properly unlock the potentials of your dataset.