Cardiovascular Disease Prediction Using Data Science Techniques
- Performed Exploratory Data Analysis and preprocessing to identify the major factors responsible for cardiac diseases
- Implemented Machine Learning and Deep Learning Models along with Hyper-parameter tuning using GridSearchCV
- Compared the prediction accuracy scores of KNN, SVM, RF, Decision Trees, Naïve Bayes and Neural Networks