Learn all the essential R programming skills needed to excel in Data Science. This repository covers fundamental and advanced topics in R, providing a comprehensive foundation to analyze, visualize, and manipulate data effectively.
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.
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.
Investigating the Impact of Smoking and Weight on Hypertension as part of the Biostatistics course at Ghent University
An investigation into the neural basis of emotion processing in mice using whole-brain functional ultrasound imaging and facial expression
🐧🧊 General Linear Models Using Penguins
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