Cardiovascular Disease (CVD) Classifier

Final project for Rice University's DSCI 303: Machine Learning for Data Science

Deployed Tool: https://cvd-risk-predictor.netlify.app/

Team Members: Bhavesh Shah, Griffin Coccari, Jamie Chen

Table of contents

• Data
  • Cluster-wise data (0-5)
  • Entire dataset
• Exploratory Data Analysis
  • Feature Analysis
  • Observation Analysis
  • Anova F-Test
  • PCA
• Models
  • Clustering
    • K-Means
    • GMM
  • Classification (in each cluster)
    • Logistic Regression
    • SVM
    • KNN
    • Random Forests
    • Neural Nets (3 different architectures)
• Results
  • Final Paper
  • Final Presentation
  • EDA Presentationi
• Web App
  • Frontend
  • API
  • Final Models (serialized)

Model Performances

Pipeline Architecture