From 919dfa094e64b133629b81b4c12c0950873b985c Mon Sep 17 00:00:00 2001 From: fenago Date: Mon, 8 Feb 2021 15:38:19 +0500 Subject: [PATCH] added --- lab_guides/Lab_14.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lab_guides/Lab_14.md b/lab_guides/Lab_14.md index bc75f7b..cfc9b91 100644 --- a/lab_guides/Lab_14.md +++ b/lab_guides/Lab_14.md @@ -487,7 +487,7 @@ X_hd = pd.DataFrame(pd.np.tile(adData, (1, 500))) From the output, you can see that the session crashes because all the -RAM provided by Jupyter has been used. The session will restart, and you +RAM provided by Jupyter has been used. The session might restart, and you will lose all your variables. Hence, it is always good to be mindful of the resources you are provided with, along with the dataset. As a data scientist, if you feel that a dataset is huge with many features but the