/Personalized_Cancer_Diagnosis

Primary LanguageJupyter Notebook

AI_Final_Project

Project Overview

Feature Engineerng Techniques:

  1. One-hot encoding
  2. Tf-Idf Vector
  3. Average word2vec

Machine Learning Models:

  1. SVM with Linear Kernel
  2. SVM with RBF Kernel
  3. Multionomial Naive Bayes Classifier

Deep Learning Models:

  1. Long Short-Term Memory
  2. Bidirectional RNN with GRU

Performance metrics:

  1. Multi class log loss
  2. Confusion Matrix