Hey everyone! đź‘‹
So, I’ve been trying to figure out how to *scale variables to unit interval python* for a project I’m working on. Like, I need all my data to fit between 0 and 1, ya know?
I’ve seen a few methods floating around—like using MinMaxScaler from sklearn or just doing it manually with (x - min) / (max - min). But I’m kinda curious, what’s the *best* way to scale variables to unit interval python?
Also, does anyone have tips for handling edge cases, like when all values are the same? Or is there a faster way to do this for large datasets?
Thanks in advance! 🙏
(Also, sorry if this is a noob question lol)
So, I’ve been trying to figure out how to *scale variables to unit interval python* for a project I’m working on. Like, I need all my data to fit between 0 and 1, ya know?
I’ve seen a few methods floating around—like using MinMaxScaler from sklearn or just doing it manually with (x - min) / (max - min). But I’m kinda curious, what’s the *best* way to scale variables to unit interval python?
Also, does anyone have tips for handling edge cases, like when all values are the same? Or is there a faster way to do this for large datasets?
Thanks in advance! 🙏
(Also, sorry if this is a noob question lol)
