| The caret Package 1. Machine Learning with R 2. Basic Commands 3. Creating Data |
Data Manipulation with "dplyr" 1. The Seven Verbs 2. Working with Multiple Tables |
Statistics with R 1. Summary Statistics 2. Testing Normality 3. Inference Procedures 4. Outliers |
| Programming 1. For Loops 2. While Loops 3. "apply()" Functions |
Analysing Your Data with R 1. Inspecting a Data Set 2. Summary Statistics 3. Working with Logical Values |
Data Visualization with ggplot |
| Non-Parametrics Statistics 1. The Clever Lecturer 2. Monty Hall 3. Gambler's Fallacy 4. Gambler's Ruin 5. Dice Rolls Experiments |
Tidy Code and Tidy Data 1. The pipe operator from "magrittr" 2. The "tidyr" package 3. The "broom" package |
Mathematical Functions
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| Missing Data | Advanced Machine Learning Topics The caret R Package |
Shiny Web Applications |