Cardiac Disease Classification Using a Random Forest Model
Description
This model was trained using a random forest model to predict cardiac disease.
Data
The Kaggle data provided by Manu Siddhartha.
EDA
A pandas-profiling report is available.
Code
The code was created in python using Jupyter notebook.
If you have trouble with GitHub rendering the file, please try here.
Documentation
A final summary outlines the work.
Models
The pickle files can be found here.
Instructions
To run this notebook locally, install Jupyter, download the data set, change the file location to load the code and data, and install all the library dependencies.
Try Anaconda.
Tools
- Python
- Jupyter Notebook