I have a dataframe with over 280 features. I ran correlation map to detect groups of features that are highly correlated: Now, I want to divide the features to
hwnd
cosine-similarity
mkcoordinateregion
api-versioning
pleora-sdk
excel-writer-xlsx
sails-mongo
nvidia-isaac
framer-motion
cpu-architecture
jenkins-docker
web3dart
skyve
rctblurredimagewithradius
react-wrapper
coredns
stoi
jqprint
photo-upload
gluon
state-monad
workload
no-cache
shared-memory
tkinter-layout
racket
wake-on-lan
autostart
magenta
nsurlerrordomain