From 926f5b59cad34cb881491cb204482ad96cbedf2c Mon Sep 17 00:00:00 2001 From: Flex Zhong Date: Sun, 5 Sep 2021 09:05:20 +0800 Subject: [PATCH] Update README.md --- 2-Regression/1-Tools/README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/2-Regression/1-Tools/README.md b/2-Regression/1-Tools/README.md index 8efa22e1..d5ca6d12 100644 --- a/2-Regression/1-Tools/README.md +++ b/2-Regression/1-Tools/README.md @@ -116,10 +116,10 @@ Import some libraries to help with your tasks. The built-in [diabetes dataset](https://scikit-learn.org/stable/datasets/toy_dataset.html#diabetes-dataset) includes 442 samples of data around diabetes, with 10 feature variables, some of which include: -age: age in years -bmi: body mass index -bp: average blood pressure -s1 tc: T-Cells (a type of white blood cells) +- age: age in years +- bmi: body mass index +- bp: average blood pressure +- s1 tc: T-Cells (a type of white blood cells) ✅ This dataset includes the concept of 'sex' as a feature variable important to research around diabetes. Many medical datasets include this type of binary classification. Think a bit about how categorizations such as this might exclude certain parts of a population from treatments.