Hey! So, I’ve been working on a similar project, and I found that z-scores are the most straightforward way to normalize data to a 3 sigma model. But here’s a pro tip: if your data has a lot of outliers, consider using a log transformation first. It can help stabilize the variance and make the scaling process smoother.
Also, if you’re into coding, check out the `scikit-learn` library in Python. It has a ton of preprocessing tools that can make your life easier. Good luck!
Also, if you’re into coding, check out the `scikit-learn` library in Python. It has a ton of preprocessing tools that can make your life easier. Good luck!