What a fun weekend dataset 😄 <br> In this clustering project, I explore the strengths and weaknesses of two methods of dimensionality reduction when it comes to visualizing clusters.

Within this case study, We are going to dive into wearable-tech health data. We are to derive key insights from our data and perform Customer Segmentation. Hence, grouping the customers with respect to their user data behavior for 🎯 targeted marketing strategies

Our goal will be to define relevant groups or clusters of Bustabit users to identify what patterns and behaviors of gambling persist. Can we describe a particular group as risk-averse? Is there a set of gamblers that have a strategy that seems to be more successful in the long term?