What’s the Best Way to Handle Normalization Data for Consistent Results? or How Do You Approach Norma

Min-max is my go-to for *most* projects just because it’s so intuitive. But yeah, outliers wreck it.

One trick I use is clipping the data before normalization. Just set some sane bounds (like 1st/99th percentiles) and *then* apply min-max.

Not perfect, but it’s saved me a ton of headaches.