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Automatic Data Cleaning Library for Machine Learning

Project description

CleanML

Automatic Data Cleaning Library for Machine Learning.

Features

  • Remove Duplicates
  • Handle Missing Values
  • Encode Categorical Features
  • Normalize Numerical Features
  • Detect Outliers
  • Feature Importance
  • Correlation Report

Installation

pip install datacleanai

Usage

import datacleanai as cm

df = cm.clean(df)

cm.report(df)

Author

Umer Yaseen

AI/ML Engineer

GitHub: https://github.com/umer1730

Leetcode: https://leetcode.com/u/umer1730

LinkedIn: https://www.linkedin.com/in/umer-yaseen-514617371

Email: umery1730@gmail.com


Support

If you like this project, please give it a on GitHub.

It helps the project grow and motivates further development.



Built With

  • Python
  • Pandas
  • NumPy
  • Scikit-Learn
  • Pytest

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