autoDS stands for Automatic Data Science and is an Open-Source tool that automates as many phases of the data science life cycle as possible. This tool makes it possible to automatically train a regression model for a specific label, use it to make predictions and deploy it as an API.

• Upload data: Load the pre-processed data set, select the label and prepare for next steps.
• EDA: Explore data in deeply with Exploratory Data Analysis.
• Training: A (new) best model is trained with AutoML.
• Prediction: You can make predictions with an old or new model.
• Deployment: You can deploy the trained model to an API, used for other systems.

Screenshot

How to use

Don't forget to rename sample.env to .env!

Step: 1 Install dependencies via pip

python3 -m pip install pipenv
python3 -m pipenv install

Step 2: Run server

python3 -m pipenv run server

Step 3: Test API after successfully run

python3 -m pipenv run api

Call URL http://localhost:8501 or change frontend with configuration.

Used tech stack

• Backend: Python 3.11
• API: FastAPI
• Frontend: Streamlit
• AutoML: PyCaret
• EDA: Pandas and YData Profiling