Design and implement a database of local restaurant recommendations for the company LivingLikeALocal.
Perform a linkage attack with real-world data involving taxis and celebrities in NYC.
Analyze the PredPol algorithm on Oakland arrest data.
Design and implement a database of local restaurant recommendations for the company LivingLikeALocal.
Perform a linkage attack with real-world data involving taxis and celebrities in NYC.
Analyze the PredPol algorithm on Oakland arrest data.
Introduction to Pandas and calculating empirical probabilities.
Introduction to unittest and explanations with Lime.
Introduction to Jupyter and universal design principles.
Build a Logisitic Regression model with a simplified version of the COMPAS dataset.
Continue computing probabilities from a Logistic Regression model trained on the COMPAS dataset.
Practice computing the demographic parity fairness metric and plotting with Matplotlib.
Get your computer set up for Python development and EECS 298 projects.