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Showing posts with the label Supervised Learning
Configuration of a multilayer perceptron
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SVM: Support Vector Machine in R and Python
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Discriminant analysis and linear regression
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Categorical predictors in logistic regression
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Dummy coding for categorical predictor variables
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Random Forest - Boosting with R and Python
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Bagging, Random Forest, Boosting (slides)
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Python - Machine Learning with scikit-learn (slides)
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Cross-validation, leave-one-out, bootstrap (slides)
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