Metadata-Version: 2.4
Name: skvai
Version: 0.1.0
Summary: A beginner-friendly Python package to simplify machine learning tasks with minimal code.
Author-email: SIVAKANDASAMY VELUMANI <sivakandasamyv@gmail.com>
License: MIT
Project-URL: Homepage, https://github.com/bioluminance/skvai
Project-URL: Documentation, https://github.com/bioluminance/skvai#readme
Project-URL: Source, https://github.com/bioluminance/skvai
Project-URL: Tracker, https://github.com/bioluminance/skvai/issues
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: matplotlib
Requires-Dist: scikit-learn
Requires-Dist: tensorflow
Requires-Dist: seaborn
Requires-Dist: click
Dynamic: license-file

# SKV AI

**SKV AI** is a Python package designed to simplify machine learning tasks like image classification, regression, and general classification. With simple functions, it allows users to load data, train models, and output results easily.

## Installation

To install `skvai` package, use pip:

```bash
pip install skvai
```


## Features
* Image Classification (using CNNs)
* Regression (using linear models)
* Classification (using logistic regression)
* Easy-to-use interface for common machine learning tasks

## Usage Example
```python
from skvai.tasks.classification import Task

# Load the dataset
task = Task()
task.load_data('data.csv')

# Train and get output
task.train_and_output('graph')
```
