Yo, I feel you on the headache part lol. For how to normalize data to a 3 sigma model, z-scores are legit the standard approach. But if you’re worried about skewing, you might wanna look into robust scaling methods. They’re less sensitive to outliers.
Also, if you’re using Python, check out `sklearn.preprocessing.StandardScaler`. It’s a lifesaver for this kinda stuff. Just make sure your data is clean before scaling—garbage in, garbage out, ya know?
Also, if you’re using Python, check out `sklearn.preprocessing.StandardScaler`. It’s a lifesaver for this kinda stuff. Just make sure your data is clean before scaling—garbage in, garbage out, ya know?