https://github.com/prarthana-singh/heart-attack-prediction-model

A Machine Learning model that predicts the risk of a heart attack based on health parameters like cholesterol levels, blood pressure, BMI, smoking habits, and age. Built using Classification models, Scikit-Learn, Pandas, and Python.
https://github.com/prarthana-singh/heart-attack-prediction-model

classification data-analysis data-science heart-attack-prediction logistic-regression machine-learning numpy pandas python scikit-learn

Last synced: about 1 year ago
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A Machine Learning model that predicts the risk of a heart attack based on health parameters like cholesterol levels, blood pressure, BMI, smoking habits, and age. Built using Classification models, Scikit-Learn, Pandas, and Python.

• Host: GitHub
• URL: https://github.com/prarthana-singh/heart-attack-prediction-model
• Owner: Prarthana-Singh
• Created: 2024-11-20T13:46:59.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-11-20T13:47:26.000Z (over 1 year ago)
• Last Synced: 2025-06-25T01:12:51.042Z (about 1 year ago)
• Topics: classification, data-analysis, data-science, heart-attack-prediction, logistic-regression, machine-learning, numpy, pandas, python, scikit-learn
• Language: Jupyter Notebook
• Homepage:
• Size: 562 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Heart-Attack-Prediction-Model