From c6e484bc37db40031cdf6a9b8d44493d9df6ab5f Mon Sep 17 00:00:00 2001 From: Vishvanathan K Date: Wed, 7 Jul 2021 18:21:43 +0530 Subject: [PATCH] change !pip to pip --- 5-Clustering/1-Visualize/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/5-Clustering/1-Visualize/README.md b/5-Clustering/1-Visualize/README.md index 12ac7c7b..8453c451 100644 --- a/5-Clustering/1-Visualize/README.md +++ b/5-Clustering/1-Visualize/README.md @@ -104,7 +104,7 @@ Clustering as a technique is greatly aided by proper visualization, so let's get 1. Import the `Seaborn` package for good data visualization. ```python - pip install seaborn + !pip install seaborn ``` 1. Append the song data from _nigerian-songs.csv_. Load up a dataframe with some data about the songs. Get ready to explore this data by importing the libraries and dumping out the data: