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GitHub / Upendra-Allagadda / Diabetes-prediction-using-machine-learning

Hospitals contain large databases. We can use that data to discover new useful and potentially life saving knowledge. Here we use datamining especially to predict type 2 diabetes mellitus.Predicting the percentage of chance of occurrence of Diabetes mellitus type 2 with less time complexity and high accuracy.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Upendra-Allagadda%2FDiabetes-prediction-using-machine-learning

Stars: 0
Forks: 1
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 663 KB
Dependencies parsed at: Pending

Created at: over 4 years ago
Updated at: over 4 years ago
Pushed at: over 4 years ago
Last synced at: almost 2 years ago

Topics: diabetes-prediction, kmeans, kmeans-clustering, machine-learning, ml, naive-bayes-classifier, python3, random-forest, rfe, rfecv

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