whats the point of pandas normalization? think of it like tuning a guitar. u *can* play it out of tune, but it’ll sound off.
normalization adjusts the “tuning” of ur data so everything works together. for ML, it’s critical. for EDA, it can reveal patterns u’d miss otherwise.
if u’re skeptical, try a side-by-side comparison with/without normalization. the results might surprise u.
normalization adjusts the “tuning” of ur data so everything works together. for ML, it’s critical. for EDA, it can reveal patterns u’d miss otherwise.
if u’re skeptical, try a side-by-side comparison with/without normalization. the results might surprise u.