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This is a project used to classify different types of Migraine's using classification models in machine learning, namely RandomForest Classifier, Decision Tree Classifier, Support Vector Classifier, KNeighborsClassifier, GaussianNB, LogisticRegression, XGBClassifier, based on different parameters like Age, Duration, Frequency, Location, Character, Intensity, Nausea, Vomit, Phonophobia, Photophobia, Visual, Sensory,Dysphasia, Dysarthria, Vertigo, Tinnitus, Hypoacusis,Diplopia, Defect, Ataxia, Conscience, Paresthesia.
The following tools were used in this project:
Before starting ๐, you need to have Git, Python 3.8, and the above Libraries installed.
# Clone this project
$ git clone https://github.com/GopalMengi/Migraine_Classifier
For major changes, please open an issue first to discuss what you would like to change.
This project is under license from MIT. For more details, see the LICENSE file.
Made with โค๏ธ by Gopal Mengi
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