Metadata-Version: 2.4
Name: SmartMLKit
Version: 0.0.1
Summary: A beginner-friendly machine learning library
Author-email: Bhavesh Khimsuriya <bhaveshkhimsuriya5@gmail.com>
License: MIT
Project-URL: Homepage, https://github.com/yourusername/easyml
Project-URL: Repository, https://github.com/yourusername/easyml
Project-URL: Issues, https://github.com/yourusername/easyml/issues
Keywords: machine-learning,tensorflow,keras,ai,classification
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.24
Requires-Dist: pandas>=2.0
Requires-Dist: tensorflow>=2.16
Requires-Dist: scikit-learn>=1.5
Dynamic: license-file

# EasyML

A simple, beginner-friendly machine learning library built on top of TensorFlow/Keras.

## Installation

```bash
pip install easyml
```

## Quick Start

```python
from easyml import BinaryClassifier

clf = BinaryClassifier()
clf.fit(X=X_train, y=y_train, epochs=50)
print(clf.classify([feature1, feature2, ...]))
```

## Features

- `BinaryClassifier` — Train a neural network binary classifier with minimal code

## Requirements

- Python 3.8+
- TensorFlow 2.x
- NumPy
- Pandas

## License

MIT
