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Data Processing
Data Processing
Standard Scaling Method
Normalization technique that transforms features to have mean=0 and standard deviation=1.
MinMax Scaling Method
Normalization technique that transforms features to a fixed range, typically [0, 1].
Iterative Imputer Method
Advanced missing value imputation method that models each feature with missing values as a function of other features.
Mean Imputation Method
Simple missing value imputation method that replaces missing values with the mean of the feature.
Robust Scaling Method
Normalization technique using median and quartiles, robust to outliers.
Median Imputation Method
Missing value imputation using the median, more robust to outliers than mean imputation.
Mode Imputation Method
Missing value imputation using the most frequent value, typically for categorical data.
Outlier Detection Process
Process of identifying data points that differ significantly from the majority of observations.
IQR Method Method
Statistical method for outlier detection using the Interquartile Range.
Z-Score Method Method
Outlier detection method based on standard deviations from the mean.