# ℹ️ About

**Kuka** is a Python library designed to support exploratory data analysis (EDA), data modeling, and interpretation of machine learning models.  

Its main goal is to serve as a practical reference toolkit throughout the various stages of a machine learning pipeline.

While major libraries like `scikit-learn`, `pandas`, and `matplotlib` offer robust general-purpose tools, **Kuka** fills the gaps by providing streamlined and customized utilities for tasks that are commonly needed but not readily available out-of-the-box.

# 📖 Documentation

You can view the API reference [here](https://tenoriolms.github.io/kuka_lib/). Features are being gradually added to the documentation

# 📦 Where to get it

The source code is currently hosted on GitHub at: [kuka_lib](https://github.com/tenoriolms/kuka_lib)

Binary installers for the latest released version are available at the Python Package Index (PyPI):

```bash
pip install kuka
```


