Introduction Overview The Data EDA Label (Mountainbike Category) Categorical Variables Continuous Variables ~Normally Distributed Variables: Skewed Variables: Multi-Modal Distributed Variables: Average bikes by flip-chip setting Methodology Variation Amongst Featureset 1. Correlation 2. Principal Component Analysis (PCA) Clustering K-Means Gaussian Mixture Model (GMM) GMM - 3 Clusters GMM - 6 Clusters Multi-class SVM Conclusions Findings Opportunities for Improved Analysis Introduction Overview For this post, I worked with Mike Czerwinski to determine whether the specifications of mountain bikes (MTB) are enough to differentiate between the different types of mountain bike categories.