CI/CD for ML Automation

This project demonstrates how to set up a CI/CD pipeline for a machine learning project using GitHub Actions. The entire workflow, from training to deployment, is automated.

The project will:

• Train a simple Random Forest Model using scikit-learn on a drug classification task.
• Automate the Evaluation process with CML (Continuous Machine Learning).
• Deploy the Web Application to Hugging Face Hub.

Data

This automation can be used on any kind of model/data.

The target feature is Drug type The feature sets are: Age Sex Blood Pressure Levels (BP) Cholesterol Levels Na to Potassium Ration

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title: Drug Classification emoji: 💊 colorFrom: yellow colorTo: red sdk: gradio sdk_version: 4.16.0 app_file: drug_app.py pinned: false license: apache-2.0