OLS. R and Python. In this project, we study fundamental concepts of Supervised ML models, such as Regression Analysis: Coefficient of Model Adjustment (R²), Parameters Estimation ,Statistical Significance of the Model (F test, T test) ,Multiple Regression , Qualitative Explanatory Variables (X) , heteroscedasticity and etc.

Investigating the Impact of Smoking and Weight on Hypertension as part of the Biostatistics course at Ghent University

Cette étude a pour objet la prédiction des journées pluvieuses à Bâle (Suisse).

An interactive Shiny app to demonstrate the continuity in General Linear Models (GLM), created for Advanced Design and Data Analysis at the University of Melbourne.

🐧🧊 A demonstration of general linear models using penguins