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Credit Card User Segmentation With Machine Learning Techniques (Math 156)

by Jacob Titcomb

  • This repository is the final project for Mathematics 156 (Machine Learning) at UCLA with Professor Jona Lelmi, for Fall 2023.
  • Though I led the work and direction of this project, my group members (listed on the cover page of the PDF) contributed significantly as well. Thus this truly was a group undertaking.
  • The course itself, Math 156, covered a variety of topics in machine learning, approaching them with mathematical rigor. Our project focused on applying those concepts: implementing clustering techniques.
    • ML techniques in particular:
      • PCA
      • Spectral Clustering
      • Gaussian Mixture Model
      • Hierarchical Clustering
      • K-Means Clustering
  • All our work is described in depth in the PDF, our report.
  • The data were sourced from Kaggle (link in the report).