Understand and apply ensemble methods to improve model accuracy and robustness by combining multiple learning algorithms.

Explore advanced regression techniques for predicting continuous outcomes and modeling complex relationships in data.

Apply unsupervised learning algorithms for clustering, dimensionality reduction, and pattern recognition in unlabeled data.

Understand and implement reinforcement learning techniques and apriori analysis for decision-making and association rule mining.