Leonardo Auslender

partial dependency plots classification and regression trees logistic regression model interpretation gradient boosting exploratory data analysis gof bagging variable selection roc linear regression visualization partial and semi partial correlations missing value imputation ensembles random forests cart classification model fit; gradient boosting; tree models model interpration; model interpretation pdp balanced unbalanced partial dependency plots and variants tree methods ensemble models curse of dimensionality segmentation cluster analysis factor analysis principal components outliers multivariate missing value imputation causality simpson's paradox contingency table odds ratios biariate applications bayesian inference central limit theorem transformations dispersion central tendency probability statistical inference univariate statistics overall exploratory data analysis statistics introduction tree represenation comparative examples prediction recall curve lift chart residual analysis non-linear regression methods comparison goodness of fit measures balance / imbalance precision - recall data science co-lineari suppression enhancement semi-partial correlations partial correlations zero-order correlations pruniing classification trees fast computing nesug sas data mining statistics model selection model comparison