Yo! minmaxscaler in python do exactly what u think—scales stuff down so everything fits nicely between 0 and 1 (or whatever u set).
Why? Cuz some ML models freak out if one feature is like 1000x bigger than another. MinMax keeps ‘em chill.
Pro tip: Always fit ONLY on training data, then use same scaler on test data. Otherwise, u’re cheating 😅.
Why? Cuz some ML models freak out if one feature is like 1000x bigger than another. MinMax keeps ‘em chill.
Pro tip: Always fit ONLY on training data, then use same scaler on test data. Otherwise, u’re cheating 😅.