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GitHub / Faria142 / Heart-Disease-Prediction-Using-Machine-Learning-Algorithms

Classification algorithms based on supervised learning, a kind of machine learning, can help with cardiovascular disease diagnosis. Algorithms like as Random Forest, Decision Tree, and Gaussian Naive Bayes are used to distinguish between those who have and do not have cardiac disease.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Faria142%2FHeart-Disease-Prediction-Using-Machine-Learning-Algorithms

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 192 KB
Dependencies parsed at: Pending

Created at: about 2 years ago
Updated at: about 2 years ago
Pushed at: about 2 years ago
Last synced at: about 2 years ago

Topics: decision-tree, gaussian-naive-bayes, heart-disease, machine-learning-algorithms, random-forest

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