Metadata-Version: 2.1
Name: mkyz
Version: 0.1
Summary: MKYZ is a Python library for classification, regression, clustering, association rule learning, dimensionality reduction, bagging, boosting, and stacking.
Home-page: https://github.com/mmustafakapici/mkyz
Author: Mustafa Kapıcı
Author-email: m.mustafakapici@gmail.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: seaborn
Requires-Dist: matplotlib
Requires-Dist: mlxtend
Requires-Dist: numpy
Requires-Dist: plotly
Requires-Dist: statsmodels
Requires-Dist: xgboost
Requires-Dist: lightgbm
Requires-Dist: catboost

# mkyz

**mkyz** is a machine learning library designed to simplify data processing, model training, evaluation, and visualization tasks.

## Features

- **Data Preparation**: Automatically handle missing values, encode categorical variables, and split data into features and target labels.
- **Model Training**: Easily train models for classification, regression, and clustering tasks.
- **Evaluation**: Get detailed evaluation metrics for your models, such as accuracy, precision, and recall.
- **Visualization**: Visualize data and model results with built-in plotting functions.

## Installation

You can install **mkyz** via `pip`:

```bash
pip install mkyz
```
