Metadata-Version: 2.4
Name: dataprepX
Version: 0.1.0
Summary: An automatic data cleaning and preprocessing library for ML
Home-page: https://github.com/yourusername/dataprepX
Author: Dhuka
Author-email: your_email@example.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: scikit-learn
Requires-Dist: matplotlib
Requires-Dist: seaborn
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# dataprepX

**dataprepX** is an automatic data cleaning and preprocessing library that makes your dataset ready for machine learning with a single command.

## Installation

```bash
pip install dataprepX

from dataprepX.cleaner import DataPrepX
import pandas as pd

df = pd.read_csv('data.csv')
dp = DataPrepX()
clean_df = dp.fit_transform(df)

Features

Handles missing values

Encodes categorical data

Scales numerical columns

Removes outliers

Generates simple data reports


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## ⚙️ Step 5: Build your package

Terminal me jao (folder jisme `setup.py` hai) aur likho:

```bash
pip install build twine
python -m build

