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
Project details
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