chayandatta / Heart_disease_prediction
A machine learning project that compares five classification algorithms for predicting the presence of heart disease from clinical patient data.
Why this job: works in the areas we cover, but does not say which job it does
What it does
Heart disease is one of the most important areas where data-driven analysis can assist researchers and healthcare professionals.
Get started
pip install numpy pandas matplotlib seaborn scikit-learn jupyterYou need: Python 3.x; Jupyter Notebook or JupyterLab
- Maintenance
- Active
- Last commit 2 months ago
- Stars
- 136
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Jupyter Notebook
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 2 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- Jupyter Notebook 100%
Topics
- clustering
- data-mining
- dicision-tree
- disease-prediction
- heart-disease
- heart-disease-predictor
- k-nearest-neighbours
- logistic-regression
- machine-learning
- machine-learning-algorithms
- machinelearning
- naive-bayes
Project record
- JobOther AI tools
- StatusListed
- Commits48
- Forks43
- Watching0
- Stars in 28 days+1
- CreatedApr 1, 2019
- First seen by usNov 7, 2026
- CheckedNov 8, 2026