GitHub - urvi367/Titanic-Dataset: Studying the performance of different machine learning algorithms such as Decision Tree, Random Forest, KNN, SVM, Logistic Regression, Naive Bayes and Perceptron on a binary classification problem using the titanic dataset. (Logistic Regression Accuracy: 81%)

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Studying the performance of different machine learning algorithms such as Decision Tree, Random Forest, KNN, SVM, Logistic Regression, Naive Bayes and Perceptron on a binary classification problem using the titanic dataset. (Logistic Regression Accuracy: 81%)