Metadata-Version: 2.4
Name: dhruvprep
Version: 0.1.0
Summary: A lightweight data preprocessing toolkit for machine learning workflows.
Author-email: Dhruv Pahwa <your-email@example.com>
License: MIT
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: statsmodels

# 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.

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## 📦 Installation

### Install from PyPI

```bash
pip install dhruvprep
