Develop and Optimize Predictive Models

Implement predictive models (e.g., for copper prices, supply volumes, demand fluctuations) using a suitable machine learning framework. Generate synthetic historical data for training if real data is inaccessible. Integrate NNI to perform hyperparameter tuning and model selection, aiming to minimize prediction errors. Document the model training process and the impact of NNI optimization.