Instructions to use abhatt13/HeartDiseasePredictor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use abhatt13/HeartDiseasePredictor with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("abhatt13/HeartDiseasePredictor", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
This modelcard aims to be a base template for new models. It has been generated using this raw template.
Model Details
Model Description
This Model predicts the Risk Percentage of having a Heart Disease on the basis of few health factors.
- Developed by: Aakash, Bhargavi, Bhakti and Charu
- Shared by [optional]: [More Information Needed]
- Model type: Tabular Classification
- Language(s) (NLP): SKLEARN
Model Card Authors [optional]
Aakash Bhatt
- Downloads last month
- -