This is a study on the dataset of Framingham Heart Patients. The model predicts whether the patients will have 10-year CHD or not depending on various parameters.
EDA (Exploratory Data Analysis) is done on the given dataset. The data is pre-processed, cleaned and then it is modelled on different classification models.
The source of dataset is from kaggle : https://www.kaggle.com/amanajmera1/framingham-heart-study-dataset
To run the project (ipynb file):
- You need a jupyter notebook
- Modules Required :
- numpy
- seaborn
- pandas
- matplotlib
- sklearn