Josiah Adesola

Guide to Model Evaluation: Eliminating Bias in Machine Learning Predictions

Explore our tutorial on model fairness to detect hidden biases in machine learning models. Understand the flaws of traditional evaluation metrics with the help of the Giskard library. Our guide, packed with examples and a step-by-step process, shows you how to tackle data sampling bias and master feature engineering for fairness. Learn to create domain-specific tests and debug your ML models, ensuring they are fair and reliable.

Josiah Adesola