Machine & Deep Learning Compendium

Searchβ¦

Normalization & Scaling

- 2.
- 3.

**data has varying scales****Normalize between range 0 to 1.****When the algorithm you are using does not make assumptions about the distribution of your data, such as k-nearest neighbors and artificial neural networks.**

**Standardize, mean of 0 and a std of 1:****When the algorithm assumes a gaussian dist, such as linear regression, logistic regression and linear discriminant analysis. LR, LogR, LDA**

Last modified 9mo ago

Copy link