Effect of Skewness and data range in machine learning I have a feature for machine learning as follow that skew to the left, and only have number in certain number range (here 0-2000). Will skewness and range of number affect the learning? If yes what should I do?
Typically, folks would transform the variable. When it is strictly greater than zero, a log transform is usually sufficient. If zero is included, as in your case, one popular alternative is the box-cox transformation.