7. Machine Learning

TEJ3M / TEJ4M :: MACHINE LEARNING

Use Kaggle as a lab

Load a real dataset, identify useful features and a target, prepare the data, train a basic model, and evaluate its performance.

Evaluation matters

Use train and test data, appropriate metrics, and error analysis. Learn why overfitting, weak data, and biased data can produce misleading results.

Grade 12 extension

Compare models, tune parameters, investigate failures, and, where appropriate, explore a small language model or the way an AI system can use tools and structured data.