Cardio Project
Description
Predicting cardiac disease risk using a Kaggle data set on heart disease. The analysis and binary classification model were performed in Python.
Data
The Kaggle data provided by Svetlana Ulianova.
Documentation
Report of final analysis along with a powerpoint of conclusions.
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.
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
- Jupyter Notebook
- Python