[ML Project]: Heart Disease Prediction using Machine Learning

[muskan-yadav18]

📌 Project Title

Heart Disease Prediction using Machine Learning

🎯 Aim

Build a machine learning model to predict the likelihood of heart disease based on patient health parameters.

📊 Dataset

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

🔍 Approach

• Data preprocessing and EDA (Exploratory Data Analysis)
• Feature selection and correlation analysis
• Models: Logistic Regression, Random Forest, SVM
• Evaluation: Accuracy, Precision, Recall, F1-Score, ROC-AUC
• Jupyter Notebook with visualizations

👤 Contributor Info

• Full Name: Muskan Yadav
• GitHub: https://github.com/muskan-yadav18
• Role: GSSoC 2026 Contributor

✅ Note

I would like to work on this and submit a PR. Please assign this to me.

[github-actions]

Thank you for creating this issue! 🎉 We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. If you have any questions reach out to LinkedIn. Your contributions are highly appreciated! 😊

Note: I Maintain the repo issue twice a day, or ideally 1 day, If your issue goes stale for more than one day you can tag and comment on this same issue.

You can also check our CONTRIBUTING.md for guidelines on contributing to this project.
We are here to help you on this journey of opensource, any help feel free to tag me or book an appointment.

[muskan-yadav18]

Hi @sanjay-k-v,

I am the one who proposed this issue and would like to work on it under GSSoC 2026. Please assign this to me. I will submit the PR within 3 days.

Full Name: Muskan Yadav
GitHub: https://github.com/muskan-yadav18
Role: GSSoC 2026 Contributor

[github-actions]

This issue has been automatically closed because it has been inactive for more than 30 days. If you believe this is still relevant, feel free to reopen it or create a new one. Thank you!