Metadata-Version: 2.1
Name: Automatic_Feature_Engineering
Version: 0.3.0
Summary: A package for automated feature engineering with support for categorical and numerical data
Home-page: https://github.com/sagarsambhwani/AutoFeatureEngineering
Author: Sagar Sambhwani
Author-email: sagar.2001.a20@gmail.com
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
License-File: License
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: category-encoders
Requires-Dist: numpy
Requires-Dist: tsfresh

# Auto Feature Engineering

<!-- AutoML Feature Engineering Package -->
### This package automates the feature engineering process, helping data scientists efficiently prepare datasets by detecting, transforming,    and selecting relevant features.

# Features
 1. Automatic Column Detection
 2. Feature Engineering Techniques
 3. Feature Ranking & Selection
 4. Irrelevant Feature Removal

# Usage Example
### This package makes feature engineering seamless by automating multiple steps, allowing data scientists to focus more on model building and analysis.

## Installation
```bash
pip install Automatic_Feature_Engineering
