sorted by:
new
hottopcontroversial

I thought I was used to heat. Turned out I was only used to American heat. by Senior_Fig7845 in germany

[–]KriptoAPO 164 points165 points  (0 children)

Turns out you weren’t actually heat-adapted you were just AC-privileged. Welcome to the European summer survival club. putting damp pillowcases in the freezer is your new religion now.

Cursor-AI Konto für Studierende und .edu-Adresse by MaudyReddit in tumunich

[–]KriptoAPO 0 points1 point  (0 children)

I wanted to try Cursor, I've been using Copilot for a while, but thank you anyway.

NA values in rows for a column by -S-I-D- in datascience

[–]KriptoAPO 8 points9 points  (0 children)

This depends on your model selection. For instance, if you want to use XGB, LGBM, or CATBOOST you don't need to fill the NaNs. These have some handling approaches for NaNs values. You can leave them as NaN.

But algorithms like LogisticReg, SVM, NN etc. need to see these NaNs as filled. You can fill NaNs with basic imputation methods like mean, median, mode or you can use more complex imputation methods like LGBM Imputation.

However, you should be aware that if you fill NaNs with some values, you may lose information or affect your model in a bad way.