Metadata-Version: 2.1
Name: smartML
Version: 0.1.10
Summary: An ML library for various tasks!
Author: Şuayp Talha Kocabay
Author-email: kocabaysuayptalha08@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

# SmartML: Revolutionizing Machine Learning Workflows ğŸš€

Welcome to **SmartML**, the ultimate Python library designed to simplify and accelerate your machine learning projects. Whether you're a beginner exploring ML or an expert seeking efficiency, SmartML empowers you to build, evaluate, and optimize models seamlessly.

---

## Features  

- **Data Preprocessing**: Handle missing values, normalize datasets, encode categorical variables, and more with a single function call.  
- **Model Building**: Create powerful machine learning models using built-in support for popular algorithms like Random Forest, XGBoost, and SVM.  
- **Evaluation Suite**: Comprehensive evaluation metrics and visualizations to understand and refine your model's performance.  
- **Scalable Workflows**: Streamlined APIs to quickly transition from prototyping to production.  

---

## Installation  

Install SmartML effortlessly with pip:  

```bash
pip install smartml
```

## How to Use
```py
from smartML.algorithm.tree_algorithm import DecisionTree

tree = DecisionTree()
```
This simple workflow will help you get started with data preprocessing, model training, evaluation, and result visualization in no time.

## Contribution
We welcome contributions from the community! Here's how you can get involved:

Fork the repository.
Create a feature branch for your work.
Submit a pull request.

## License
This project is licensed under the MIT License. You are free to use, modify, and distribute this library.

## Feedback and Support
Have any questions, suggestions, or feature requests?

Open an issue on GitHub.
Reach out to us directly via email or discussion forums.
