Module 4 - Unsupervised Machine Learning and Advanced Techniques for Insights

About This Course

This module delves into unsupervised learning techniques to uncover hidden patterns, structure, and insights in data. Participants will explore key algorithms such as clustering (e.g., K-Means, hierarchical clustering) and dimensionality reduction methods (e.g., PCA, t-SNE) to analyse complex datasets. The module also covers advanced applications such as latent space exploration and recommendation systems, providing participants with the tools to extract actionable insights. With a strong focus on practical use cases, participants will gain hands-on experience applying unsupervised learning techniques to real-world business challenges.