Description
- Working with Big Data in R
– Big data graphics, models and manipulation - Classification modelling:
– Logistic regression
– Discriminant Analysis
– Trees: Bagging, Random Forest & Boosting
– SVM
– Accuracy measures
– Validation - Automation in R, including batch processing and deploying to production
- Reporting: R Shiny and R Markdown
