Machine Learning Models

• Training: Update models with new user data to maintain relevance.
• Growth Mapping: Plot how a learner’s metrics have evolved, identifying stable trends or anomalies.
• Algorithm Selection: Switch between neural networks, decision trees, or SVMs depending on data type and complexity.