GitHub - JoaoAfonsoBatista/Data-Mining-1: 1st year master project: unbalanced supervised classification problem: prediciting whether a patient will suffer a Myocardial Rupture. data preprocessing with missing value analysis, outlier analysis, dimentionality reduction and oversampling. Training a lot of classifiers, K-Nearest Neighbour, Binary Logistic Regression, Naive-Bayes, Support Vector Machines, Linear Discriminant Analyses, Linear Discriminant Analyses on Expanded Basis, Quadratic Discriminant Analyses, Decision Trees and Neural Networks.

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1st year master project: unbalanced supervised classification problem: prediciting whether a patient will suffer a Myocardial Rupture. data preprocessing with missing value analysis, outlier analysis, dimentionality reduction and oversampling. Training a lot of classifiers, K-Nearest Neighbour, Binary Logistic Regression, Naive-Bayes, Support Ve…

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.gitattributes		.gitattributes
Myocardial-infarction-complications-Database.csv		Myocardial-infarction-complications-Database.csv
Projeto1_MEDM_10.ipynb		Projeto1_MEDM_10.ipynb