Heart Disease Prediction

[bristiHalder]

Is your feature request related to a problem? Please describe.

Yes, predicting heart disease using machine learning models is a significant problem in healthcare.

Describe the solution you'd like along with reference dataset.

Solution Description:

1. Would explore both the traditional algorithms (like Logistic Regression, Naive Bayes, etc.) and more complex models (like Random Forest, SVM, Decision Tree, KNN etc.) to understand which performs best for this specific prediction task.

2. Models would be assessed based on metrics such as accuracy, precision, recall, and Confusion Matrix.

Reference Dataset:

1. UCI Heart Disease Data
2. Features: Includes demographic, clinical, and behavioral attributes such as age, sex, cholesterol levels, blood pressure, etc.

Describe alternatives you've considered

No response

Additional context

No response

Code of Conduct

• I agree to follow this project's Code of Conduct

[github-actions]

Congratulations, @bristiHalder! 🎉 Thank you for creating your issue. Your contribution is greatly appreciated and we look forward to working with you to resolve the issue. Keep up the great work!

We will promptly review your changes and offer feedback. Keep up the excellent work! Kindly remember to check our contributing guidelines

[adityasingh-0803]

@SrijanShovit please assign it to me

[github-actions]

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