A lightweight data preprocessing toolkit for machine learning workflows.
Project description
DhruvPrep
A Lightweight Data Preprocessing Toolkit for Machine Learning
DhruvPrep is a modular Python library designed to simplify data preprocessing for structured machine learning workflows.
It provides reusable utilities for:
- Handling missing values
- Detecting multicollinearity (VIF & correlation)
- Removing outliers using IQR
- Encoding categorical variables
- Scaling numerical features
- Generating basic EDA summaries
DhruvPrep helps standardize and automate repetitive preprocessing steps, making datasets ready for model training.
📦 Installation
Install from PyPI
pip install dhruvprep
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