advikmaniar / ML-Healthcare-Web-App

This is a Machine Learning web app developed using Python and StreamLit. Uses algorithms like Logistic Regression, KNN, SVM, Random Forest, Gradient Boosting, and XGBoost to build powerful and accurate models to predict the status of the user (High Risk / Low Risk) with respect to Heart Attack and Breast Cancer.

Date Created 2021-06-22 (3 years ago)

Commits 76 (last one 3 years ago)

Stargazers 40 (0 this week)

Watchers 1 (0 this week)

Forks 13

License apache-2.0

Ranking

RepositoryStats indexes 595,856 repositories, of these advikmaniar/ML-Healthcare-Web-App is ranked #520,769 (13th percentile) for total stargazers, and #544,643 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #101,669/119,431.

advikmaniar/ML-Healthcare-Web-App is also tagged with popular topics, for these it's ranked: python (#20,301/22324), machine-learning (#7,346/8063), healthcare (#141/159)

Other Information

advikmaniar/ML-Healthcare-Web-App has 1 open pull request on Github, 0 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there is 1 open issue and 0 closed issues.

All Topics

xgb python healthcare heartattack breast-cancer machine-learning streamlit-webapp

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The only known language in this repository is Python

updated: 2024-11-26 @ 08:34am, id: 379386303 / R_kgDOFpz5vw