Assignment:
Discussion 1: Discuss the major issues in the classification model overfitting. Give some examples to illustrate your points.
Discussion 2: Compare different Ensemble methods with appropriate examples.
Discussion 3: Discuss the strengths and weaknesses of using K-Means clustering algorithm to cluster multi class data sets. How do you compare it with a hierarchical clustering technique.
Discussion 4: Compare and contrast the different techniques for anomaly detection that were presented.
Discuss techniques for combining multiple anomaly detection techniques to improve the identification of anomalous objects.