Model Selection and Evaluation
In this unit:
- The workflow of model selection, evaluation, and deployment.
- Techniques for optimising hyperparameters to enhance performance.
- Metrics beyond accuracy—choosing appropriate evaluation methods.
- MLOps concepts—ensuring model reproducibility and scalability in production.
e-Portfolio Component
Run the model file and change different parameters and observe its impact on AUC and R2 error. (Complete)
- model_Performance_Measurement.ipnyb