R Tutorial - 17 - Data standardization and normalization

thank you sir

Thank you for this well explained video. I have a dataset that has variables with varying scales, for example variable 1 has values between 0 and 150, then variable 2 between 0 and 2000. I think i will use standardisation on both these variables in my dataset. A question for you, what should I do to help with skewed data (to the left) in a variable I intend to use as a predicted one? I have considered using the Box-Cox method to remove the skew.

nice bro

nice work

Great Video! Thank you!

Thank you for the easy-to-follow tutorial. Please can you help me by clarifying why you used the sapply() function twice on newd1? I saw it in "newd1 <- as.data.frame(sapply(iris[,1:4], z_score))" and also saw sd already applied in the z_score function "res <- (x - mean(x))/sd(x).