- Step1: Clone the repository from GitHub.
- Step2: Install dependencies via pip or conda.
- Step3: Prepare your dataset and configure the pipeline YAML.
- Step4: Run the training command to build and tune your model.
- Step5: Evaluate results using built-in metrics and visualizations.
- Step6: Deploy the trained model as a RESTful API or Docker service.
- Step7: Monitor performance through the integrated dashboard.