BMEN415 Final Project

Winter 2022 ⁠—⁠—⁠—⁠—⁠—⁠—⁠—⁠—⁠—⁠—⁠—⁠—⁠—⁠—⁠—⁠ Group 3 !

• Regression Models:
  • Booster Trees, MLP, Bagged
  • Gradient Boosting, PLS, Gaussian Naive Bayes
  • Linear Regression, Lasso, Bayes Ridge
  • Decision Tree, TF Neural Network, AdaBoost
  • Nearest Neighbours, SVM, Random Forest
• Classification Models:
  • Random Forest, Neural Network, Logistic
  • Stochastic Gradient Descent, Bernoulli Naive Bayes, AdaBoost
  • SVM, Bagged, LDA
  • Decision Tree, XGBoost, Gaussian Process
  • KNN, Naive Bayes, PLS
• Challenge CNN
  • Final Results
  • Exploratory Data Analysis