Explores logistic regression fundamentals, including cost functions, regularization, and classification boundaries, with practical examples using scikit-learn.
Covers risk and uncertainty in environmental projects, focusing on cost-benefit analysis and the concept of certainty equivalent for risk-averse individuals.