Toolkit to assist life science researchers in detecting outliers
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Updated
Dec 2, 2024 - Python
Toolkit to assist life science researchers in detecting outliers
A tool for simple data analysis. A rip-off of R's dlookr package (https://github.com/choonghyunryu/dlookr)
1-Outlier detection and removal of the outlier by Using IQR The Data points consider outliers if it's below the first quartile or above the third quartile 2-Remove the Outliers by using the percentile 3-Remove the outliers by using zscore and standard deviation
Python package with a class that allows pipeline-like specification and execution of regression workflows.
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