We investigate different algorithms such as Neural Network, Bayesian Naive Bayes, K-NN, K-Means Clustering and Logistic Regression along with hybrid techniques involving the above used algorithms for the diagnosis of heart disease.
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We investigate different algorithms such as Neural Network, Bayesian Naive Bayes, K-NN, K-Means Clustering and Logistic Regression along with hybrid techniques involving the above used algorithms for the diagnosis of heart disease.
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shuttlesworthNEO/HeartDiseaseMLProject
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We investigate different algorithms such as Neural Network, Bayesian Naive Bayes, K-NN, K-Means Clustering and Logistic Regression along with hybrid techniques involving the above used algorithms for the diagnosis of heart disease.
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- Jupyter Notebook 83.8%
- Python 16.2%