codeless
===================
codeless is a Python module for machine learning built on top of imbalanced-learn, matplotlib, numpy, pandas,  codeless, scipy, seaborn and is distributed under the MIT license.

The project was started in 2020 by Arun Kumar Nath to improve machine learning skills.

Website: https://codeless.org

Installation
====================
Dependencies

codeless requires
--------------------
- Python (>= 3.6)\n
- Imbalanced-learn (>=0.7.0)\n
- Numpy (>=1.18.5)\n
- Pandas (>=1.1.3)\n
- SciPy (>=1.4.1)

codeless plotting capabilities (i.e. functions start with Plot ) require Matplotlib >=3.3.0. A few examples require pandas >=0.1.8, some examples require seaborn >=0.10.1.

User installation
--------------------
If you already have a working installation of numpy and scipy, the easiest way to install  codeless is using pip

pip install  codeless

The documentation includes more detailed installation instructions.

Changelog
=====================
See the changelog for a history of notable changes to  codeless.

Development
====================
I welcome new contributors of all experience levels. The codeless community goals are to be helpful, welcoming, and effective. For any contribution please visit linkedIn: https://www.linkedin.com/in/arun-kumar-nath-686721152/ . I have included some basic information in this README.

Important links
===================
Official source code repo
-------------------------
https://github.com/porky5191/CodelessLibrary/

Download releases
-------------------------
https://pypi.org/project/codeless/

Source code
-------------------
You can check the latest sources with the command:
git clone https://github.com/porky5191/CodelessLibrary.git

Contributing
=======================
To learn more about making a contribution to codeless, please visit the above mentioned LinkedIn.

Project History
=======================
The project was started in 2020 by Arun Kumar Nath to improve machine learning skills.

The project is currently maintained by Arun Kumar Nath.

Help and Support
=======================
Documentation
----------------------
https://drive.google.com/drive/folders/1sppPT4rLCLHlugAmQuXk0rIFnHQhXyp4?usp=sharing

FAQ
---------------------
https://www.linkedin.com/in/arun-kumar-nath-686721152/

Communication
--------------------
Mailing list: arunnath792@gmail.com

Citation
====================
If you use  codeless in a scientific publication, we would appreciate citations: https://pypi.org/project/codeless/#citing- codeless