codeless 0.0.5

A simple library to perform EDA & Data Engineering quickly without writing any code

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)

• Imbalanced-learn (>=0.7.0)

• Numpy (>=1.18.5)

• Pandas (>=1.1.3)

• 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: [e-mail]

Citation

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

Change Log

0.0.4 (01/12/2020)

• Fourth Release

0.0.5 (01/12/2020)

• Fifth Release