This repository for ALGORITHMIC BIAS, FAIRNESS AND ETHICS course assignment, we study fairness in ranking with respect to differentattributes( number of stars, and number of reviews), then we study theeffect off missing values on fairness algorithms and we tried to handle it in different ways, we also try to build an initial view about the notion of more protected by combining two attributes in the dataset, finally we study the exposure concepts based on the position bias, all experiamentsper formed based on the two datasets (job candidates from Linkedin andtop Doctors in medical specialists).