Description
- Introduction & Preliminaries
- Efficient use of R Language objects & functions
- Programming in R – writing functions
- Advanced Visualisations, including Trellis and ggplot2
- Data Science/Predictive Modelling:
– Multiple regression
– Stepwise regression
– Regression tree based methods
– Accuracy measures
– Validation - Unsupervised Learning Methods
– Hierarchical clustering
– Kmeans clustering
