Project: Make a Fair Classifier

Finally, it’s time to apply new knowledge and skills in practice. In this project, we will take a potentially biased dataset and examine sensitive attributes and potentially discriminated groups. Then, we will build a predictive model with proper train/test splitting and evaluate it using classic metrics.

But most importantly, we will verify the model’s fairness and try to improve it using various techniques.

Let’s get started!