Metadata-Version: 2.4
Name: SmartMLKit
Version: 0.0.3
Summary: A beginner-friendly machine learning toolkit
Author-email: Bhavesh Khimsuriya <bhaveshkhimsuriya5@gmail.com>
License-Expression: MIT
Project-URL: Homepage, https://github.com/yourusername/SmartMLKit
Project-URL: Repository, https://github.com/yourusername/SmartMLKit
Project-URL: Issues, https://github.com/yourusername/SmartMLKit/issues
Keywords: machine-learning,ml,classification,regression,clustering,data-science,scikit-learn
Classifier: Programming Language :: Python :: 3
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: scikit-learn>=1.5
Dynamic: license-file

# SmartMLKit

```bash
pip install SmartMLKit
```

```python
import SmartMLKit as smk

df = smk.load_csv("iris.csv")
model = smk.LogisticRegression(df, target="species")
model.summary()
```

Defaults: `test_size=0.2`, `random_state=42`.
