PyPro

Titanic survival prediction

Repository Name : Algorithm Implemented : Contributor : Accuracy

GaussianNB.ipynb : Gaussian Naive Bayes : Poojangi : 0.8156
LogReg(OHE).ipynb : Logistic Regression using One-Hot Encoding : Chaitanyasuma : 0.78
LogisticRegression.ipynb : Logistic Regression : Neha : 0.7852
TITANIC.ipynb : Decision Tree Classifier : Tanya : 0.8156
Titanic.ipynb : K-Nearest Neighbor : Aaliyah : 0.8384
titanic-3.ipynb: SVM : Atmaja :0.81005
decisionTree.ipynb : Decision Tree Classifier : Tejashri : 0.82716

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Name		Name	Last commit message	Last commit date
Latest commit History 42 Commits
GaussianNB.ipynb		GaussianNB.ipynb
LogReg(OHE).ipynb		LogReg(OHE).ipynb
LogisticRegression.ipynb		LogisticRegression.ipynb
README.md		README.md
TITANIC.ipynb		TITANIC.ipynb
Titanic.ipynb		Titanic.ipynb
decisionTree.ipynb		decisionTree.ipynb
titanic-3.ipynb		titanic-3.ipynb