YouTube Videos
R Stats and Data Mining
SAS Enterprise Miner
R Stats and Data Mining
Statistical predictive modelling in R. Lessons that avoid indepth statistics, made as short and simple as possible, and yet cover topics of data analysis and visualisation, variable association, models such as kNN, naive bayes, simple and multiple linear regression.

R Introduction: Setup and Basic Data Analysis, 2016

R Introduction: Data Analysis and Plotting, 2016

R Introduction: Working With Google Maps, 2016

R Introduction: Extending Google Maps with kNN, 2016

R Stats: Variable Association, 2016

R Stats: Naive Bayes and kNN, 2016

R Stats: Data Prep and Imputation of Missing Values, 2016

R Stats: Imputation with no Magic, 2016

R Stats: Simple Regression Model, 2016

R Stats: Multiple Regression  Variable Selection, 2016

R Stats: Multiple Regression  Variable Preparation, 2016

R Stats: Multiple Regression  Data Visualisation, 2016
SAS Enterprise Miner
Machine learning models in SAS Enterprise Miner. These include (yes these are here too) linear and logistic regression, neural networks, decision trees, cluster analysis, text analytics, as well as, their ensembles, evaluation and comparison.
Jacob L. Cybulski