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Automated data preprocessing library using Google's Gemini AI, a small change in skew function

Project description

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

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