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This document discusses exploratory data analysis and outlier detection techniques. It begins with an overview of exploratory data analysis and then describes several visualization and mathematical techniques for identifying outliers, including box plots, scatter plots, z-scores, and IQR analysis. Specific examples are provided using the Boston Housing dataset to identify outliers. Finally, the document discusses various methods for preprocessing outliers, such as imputation, trimming, capping, and discreti

Author

devashreereddy

Language

EN