GitHub / programindz / heartattackpredictor
A machine learning model using Support Vector Machine classification to predict chances of an individual having a heart attack based on features like age, sex, cholestrol, blood pressure, chest pain, heart beat etc.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/programindz%2Fheartattackpredictor
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 88.9 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: over 1 year ago
Commit Stats
Commits: 5
Authors: 2
Mean commits per author: 2.5
Development Distribution Score: 0.2
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/programindz/heartattackpredictor
Topics: classification, data-cleansing, data-scaling, data-science, jupyter-notebook, logistic-regression, machine-learning, matplotlib, numpy, pandas, pipeline, preprocessing, python, sckit-learn, support-vector-machine