Welcome
Some training slides and procedures for advanced analytics in the workplace.
Table of contents
- Module 1: Introduction
- Module 2: Getting Started with R
- Module 3: Data Structures Introduction
- Module 4: Loading, Shaping and Merging Data
- Module 5: Summary Statistics and Basic Plots in R
- Module 6: ggplot2 Rapid Exploration
- Module 7: Abstraction
- Module 8: Linear Regression
- Module 9: Logistic Regression
- Module 10: Splits, Probability and Decision Trees
- Module 11: Naive Bayesian Classifiers and Laplace Estimator
- Module 12: Norsys Netica and Bayesian Analysis
- Module 13: Neural Networks
- Module 14: Deep Learning with H20
- Module 15: Monte Carlo Model Simulation
- Module 16: R Plumber