Project information

Heart Stroke Prediction using Machine Learning

  • Fetched clinical data using Pandas, followed by preprocessing the data and statistical exploratory analysis
  • Developed various classification algorithms like Decision Tree, SVM, Logistic Regression, KNN
  • Performed Dimension Reduction using PCA and cross-validation to help optimize the parameters
  • Showed how cross validation on a validation set using either RandomSearchCV or GridSearchCV can help us optimize the parameters for the ML models