Sarah0022/my-completely-new-repo-name

library: scikit-learn dataset: https://www.kaggle.com/datasets/johnsmith88/heart-disease-dataset

Heart Disease Prediction Model 🫀

📌 Model Overview

This model uses Logistic Regression to predict the risk of heart disease based on various health-related features.

📊 Training Data

The model was trained on a dataset containing patient health attributes, including:

• Age
• Cholesterol Level
• Blood Pressure
• Body Mass Index (BMI)

🚀 How to Use the Model

You can download and use the model in Python as follows:

from huggingface_hub import hf_hub_download
import joblib

# Download the model
model_path = hf_hub_download(repo_id="Sarah0022/heart-disease-model", filename="heart_disease_model.pkl")

# Load the model using joblib
model = joblib.load(model_path)