https://github.com/devparihar5/outlyzer

Outlyzer is a Python library for outlier detection that offers various methods for identifying and visualizing outliers in datasets.

https://github.com/devparihar5/outlyzer

Science Score: 13.0%

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Keywords

outlier-detection pypi pypi-package python python-library visualization
Last synced: 6 months ago · JSON representation

Repository

Outlyzer is a Python library for outlier detection that offers various methods for identifying and visualizing outliers in datasets.

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  • Stars: 5
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Topics
outlier-detection pypi pypi-package python python-library visualization
Created almost 3 years ago · Last pushed almost 3 years ago
Metadata Files
Readme License

README.md

Outlyzer -A Python package to detect outliers in a dataset

Outlyzer is a Python library that provides various methods for detecting outliers in a dataset. It includes implementation of Z-score, IQR, and Mahalanobis distance methods for identifying outliers, as well as visualization-based methods using scatter plots, box plots, and other types of visualizations.

Installation

You can install Outlyzer using pip: pip install outlyzer

Usage:

- Import the desired method from the library, e.g.:
    from Outlyzer.zscore import detect_outliers_zscore        
    from Outlyzer.iqr import detect_outliers_iqr

- Pass your dataset or data series to the respective function, e.g.:
    outliers_zscore = detect_outliers_zscore(data)
    outliers_iqr = detect_outliers_iqr(data)

The functions will return a boolean array indicating whether each data point is an outlier (True) or not (False).

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Owner

  • Name: Devendra Parihar
  • Login: Devparihar5
  • Kind: user
  • Location: Jodhpur
  • Company: @kainskep

Data Scientist at Kainskep | 3xKaggle Expert

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