Analysing data in R
- Basic statistics
- Shapiro–Wilk test
- Standard deviation vs Standard error
- Standardization
- Statistical hypothesis testing
- Linear regression
- Fitting a Neural Network
- Cluster analysis
- Hierarchical cluster analysis
- K Means cluster analysis
- Pattern recognition
- K-nearest neighbors algorithm
- Classification Tree
- Random Forest
- Gradient boosting machine
- Factor analysis