We offer detailed data mining analysis for your simulated and real life data sets using R. we also assists with imputation techniques for your missing data. Which implies you don't have to worry about how to get your data ready if you have missing values. We can also help you with Monte carlo simulation and various cross validation techniques like Leave One Out Cross Validation (LOOCV), V folds, Monte carlo cross validation (MCCV) and Bootstrap 0.632+. Our modelling skills in data mining also extend to single (SVM, Naive Bayes, Logistic Discriminant, Linear Discriminant, Quadratic Discriminant, PLS-LDA, tree based methods (CART) etc.) and ensemble methods like bagging, boosting, random forest, Bayesian network, Bayesian Model Average etc.
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we offer detailed analysis in the area of data mining using R.