Project is about Heart Disease Predication. The dataset has information of patients that has heart disease or not. The is Supervised Data and Binary Classification Problem. The project is done using Jupyter notebook The dataset has alot of duplicates values in the data. Data Visualization using matplotlib, seaborn The data is converted into StandardScaler. The models that are applied to dataset are:
- KNeighbors Classifier
- Support Vector Classifier
- Logistic Regression
- Decision Tree Classifier
- Random Forest Classifier
- Gradient Boosting Classifier