#

outliers-detection

Here are 4 public repositories matching this topic...

DrSara9888 / Machaine-Learning-Big-Data

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

feature-selection percentile zscore iqr outliers-detection

Updated Jul 7, 2020
Python

AlexLietard / otpsy

Toolkit to assist life science researchers in detecting outliers

psychology psychophysics medecine outliers-detection human-sciences

Updated Nov 10, 2024
Python

antononcube / Python-Regressionizer

Python package with a class that allows pipeline-like specification and execution of regression workflows.

visualization python workflow regression least-squares monad outliers outlier-detection quantile-regression cumulative-distribution-function outliers-detection residual-plot conditional-cumulative-distribution-function

Updated Aug 30, 2024
Python

jeppbautista / pydatalook

A tool for simple data analysis. A rip-off of R's dlookr package (https://github.com/choonghyunryu/dlookr)

python pandas data-analysis outliers-detection

Updated Apr 1, 2019
Python

Improve this page

Add a description, image, and links to the outliers-detection topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the outliers-detection topic, visit your repo's landing page and select "manage topics."