orionpax00/regpip repository overview
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Table of Contents
About The Project
RegPip is a end to end pipeline for any regression problem, It can be fitted to any dataset dealing with regression.
Highly tailored and tunned with different algorithms and data processing techniques to get better results
Here's why:
- We have merged the all necessary steps into one pipeline so user does not have thing about what to do.
- Easily implementable just copy or csv files into the data folder modify the code subsequently, modified step and well documented and commented.
- Great visualization and almost every algorithm is coved in the scope :smile:
Built With
Completely with python and it's supporting libraries worth mentioning libraries and frameworks:
- Python
- Jupyter notebook
- Scikit learn
- Tensorflow and Tensorboard
- Xgboost
- Matplotlib, Pandas, Numpy, Seaborn
Getting Started
There are two methods to run this project:
Docker
It the most preferred way to install and run the project in your local machine
Prerequisites
Docker is prerequisites and have to be installed firstly go to here to how to install docker
docker run regpip:latest
Installation
- Get a free API Key at https://example.com
- Clone the repo
git clone https:://github.com/your_username_/Project-Name.git
- Install NPM packages
npm install
- Enter your API in
config.js
const API_KEY = 'ENTER YOUR API';
Usage
Use this space to show useful examples of how a project can be used. Additional screenshots, code examples and demos work well in this space. You may also link to more resources.
For more examples, please refer to the Documentation
Contributing
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature) - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
License
Distributed under the MIT License. See LICENSE for more information.
Contact
Your Name - @your_twitter - [email protected]
Project Link: https://github.com/your_username/repo_name
Acknowledgements
Tag summary
Content type
Image
Digest
Size
876.1 MB
Last updated
over 7 years ago
docker pull orionpax00/regpip