Manual implementation of Machine Learning algorithms for classification like Logistic Regression, k-Nearest Neighbor Classification, Naive Bayes, and SVM as well as discussion of bias / variance trade-off and underfitting / overfitting on Titanic survivor dataset. See Titanic.ipynb notebook for more details.
sabnanih/titanic-survivor-classification
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Implementation of some Machine Learning classification algorithms on Titanic survivor dataset
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