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