Metadata-Version: 2.2
Name: autoprocess_iitg
Version: 0.1.0
Summary: Automated data preprocessing library using Google's Gemini AI
Home-page: https://github.com/ShubhamS1101/CleanGPT01
Author: Shubham
Author-email: shubhamsinghalswm123@gmail.com
License: MIT
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: numpy>=1.18.0
Requires-Dist: pandas>=1.0.0
Requires-Dist: scikit-learn>=0.24.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
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AutoProcess: Automated Data Preprocessing Library

AutoProcess is a Python library that leverages the power of Google's Gemini AI to automate various data preprocessing tasks. It provides intelligent, context-aware solutions for data cleaning, transformation, feature engineering, and skew correction.


Features

Data Cleaning: Handles missing values, outliers, and duplicates
Data Transformation: Manages datatype conversions, categorical encoding, and feature scaling
Feature Engineering: Generates domain-aware feature creation strategies
Skew Correction: Applies appropriate transformations to correct skewed distributions
