Collaborative Data Science
Log transformation is a mathematical technique used to stabilize the variance and normalize the distribution of data by applying the logarithm function to each data point. This method is particularly helpful in data cleaning and preprocessing, as it can help reduce skewness, manage outliers, and improve the performance of statistical analyses. By transforming the data, log transformation enhances interpretability and can lead to better model fitting in various statistical methods.
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