Unsupervised Machine Learning for Customer Market Segmentation

In this hands-on guided project, learners will explore how to apply unsupervised machine learning algorithms to perform customer market segmentation. The course delves into the theory and practical implementation of PCA and K-Means algorithms, providing a comprehensive understanding of customer segmentation techniques.

• Understand the importance of market segmentation for targeted marketing campaigns
• Learn to compile and fit unsupervised machine learning models such as PCA and K-Means
• Gain insights into the theory and intuition behind Principal Component Analysis (PCA) and k-means clustering
• Discover how to determine the optimal number of clusters using the elbow method