- Model Creation: Creating a model to solve binary, regression, multiclass, and multilabel machine learning problems.
- Model Metrics: Understanding the model metrics page.
- Deployment: How to deploy models using real-time API.
- Batch Predictions: How to perform batch predictions using the deployed model.
- MLOps and Monitoring: Best practices for MLOps and monitoring.
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