A series of 3 assignments conducted as part of the module ‘Statistical Modelling’ for the MSc ‘Data Science and Machine Learning’. The code is written in R-studio. The assignments include:
- Linear Regression: Linear Model, Mathematical Proofs, Scatter Plot, Hypothesis Testing, Confidence Intervals
- Polynomial Regression: Polynomial Model, Points of Influence (Cook's Distance, DFFiTS, DFBETAS,
$h_{ii}$ ), F-test, t-test,$AIC$ ,$C_p$ ,$R^2$ , Confidence Intervals, Plots, extra: Ridge and Lasso Regression - Poisson and Logistic Regression: Statistical Testing (Wald and Deviance), Confidence Intervals, Plots, Points of Influence, Interactions, ROC curve