Unleashing the Power of Feature Scaling in Machine Learning

Scaling up Success: Power of Normalization and Standardization

Feature Scaling is the process to standardize or normalize the input feature of a dataset to transform the values of different features to a common scale. It is the last step of feature engineering, which you perform before sending your data to your model.

Why need Feature Scaling

When different features vary over different ranges, it becomes difficult to put them together in a model. …

dataset engineering feature feature engineering features machine machine learning normalization power process ralph scale scaling scaling up standardization success values