This application is in beta state. Any beta testing and feedback is welcomed!
LearnLab AI is a web application that allows users to construct Machine Learning models without the need for coding, with integration and assistance from OpenAI.
Hosted on streamlit as a web application and integrated with OpenAI's API. Key libraries include Pandas, Numpy, sklearn, Seaborn and Sqlite.
Utilizes a fully customizable pipeline to create machine learning model.
For testing and personal usage, visit the provided link. To run the script locally, clone the repository, create a virtual environment, install Python, and run pip install -r requirements.txt in the project folder.
└── project
└── data
│ ├── clean
│ ├── example_datasets
│ └── src
├── notebooks
│ ├── assistant.ipynb
│ ├── sql.ipynb
│ └── test.ipynb
├── users
├── .env
├── .gitignore
├── Presentacion.pptx
├── LICENSE
├── main.py
├── README.md
├── requirements.txt
└── SQL.log
We welcome contributions from the community! Whether it's bug fixes, new features, or enhancements, feel free to submit pull requests or open issues on GitHub.
I would like to keep building this app to include non supervised learning, deeper model tuning and deeper AI integration.
If you find this project wrothy of you interest or you owuld like to contact me for any other reason. Please feel invited to do so at rjcolgut@gmail.com
