GitHub - shhreyaa/Pcos_analysis: Explored and compared different algorithms such as Logistic Regression, Support Vector Machine, Decision Tree, Random Forest and Naive Bayes for the prediction of PCOS

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Explored and compared different algorithms such as Logistic Regression, Support Vector Machine, Decision Tree, Random Forest and Naive Bayes for the prediction of PCOS

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Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
Data		Data
.gitignore		.gitignore
Decision Tree.sav		Decision Tree.sav
Logistic Regression.sav		Logistic Regression.sav
Naive Bayes.sav		Naive Bayes.sav
Outlier_detection.ipynb		Outlier_detection.ipynb
PCOS_EDA.ipynb		PCOS_EDA.ipynb
PCOS_datacleaning.ipynb		PCOS_datacleaning.ipynb
Random Forest.sav		Random Forest.sav
Support Vector.sav		Support Vector.sav
boxplot.png		boxplot.png
corrmat.jpg		corrmat.jpg
model.ipynb		model.ipynb

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Explored and compared different algorithms such as Logistic Regression, Support Vector Machine, Decision Tree, Random Forest and Naive Bayes for the prediction of PCOS

random-forest naive-bayes-classifier logistic-regression support-vector-machines decision-tree pcos

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