Skip to content

Latest commit

 

History

History
23 lines (14 loc) · 595 Bytes

File metadata and controls

23 lines (14 loc) · 595 Bytes

Heart Failure Prediction Project

My project’s primary goal is to predict heart failure based on input parameters
To predict heart disease I used Logistic Regression Machine Learning Model

Getting Started

Dependencies

  • Libraries that I used: pandas, numpy, matplotlib, seaborn, sklearn

Installing

  • The libraries can be downloaded by pip install .

Executing program

  • How to run the program: I built my model using jupyter notebook. It can be run through anaconda or jupyter notebook application.

Licence

  • MIT License

Version History

  • Python 3.9.7