Many machine learning algorithms perform better when numerical input variables are scaled to a standard range.

- You will discover how to use robust scaler transforms to standardize numerical input variables for classification and regression.

After completing this tutorial, you will know:

- Many machine learning algorithms prefer or perform better when numerical input variables are scaled.
- Robust scaling techniques that use percentiles can be used to scale numerical input variables that contain outliers.
- How to use the RobustScaler to scale numerical input variables using the median and interquartile range.

#data preparation #machine-learning

1.40 GEEK