| ML.PREPROCESSING.MIN_MAX_SCALER |
Scales each feature to a given range, usually between 0 and 1. |
| ML.PREPROCESSING.ONE_HOT_ENCODER |
Converts categorical variables into a format that works better with machine learning algorithms. |
| ML.PREPROCESSING.ORDINAL_ENCODER |
Converts categorical variables into numerical values by assigning each unique category a unique integer. |
| ML.PREPROCESSING.ROBUST_SCALER |
Scales features using statistics that are robust to outliers (median and interquartile range). |
| ML.PREPROCESSING.STANDARD_SCALER |
Standardizes features by removing the mean and scaling to unit variance. |
| ML.PREPROCESSING.TRAIN_TEST_SPLIT |
Splits your dataset into training and testing sets for machine learning. |