R Stats and Data Mining
SAS Enterprise Miner
Statistical predictive modelling in R. Lessons that avoid in-depth statistics, made as short and simple as possible, and yet cover topics of data analysis and visualisation, variable association, models such as k-NN, naive bayes, simple and multiple linear regression.
Machine learning and data mining in RapidMiner Studio. These will include linear and logistic regression, neural networks, decision trees, cluster analysis, text analytics, as well as, their ensembles, evaluation and comparison.
Introduction to SAS Enterprise Miner.
Jacob L. Cybulski