Tomkaandorp

Complete course summary for Data Science Methods at Universiteit van Amsterdam, covering Python fundamentals, model evaluation, regularization, dimensionality reduction, classification, clustering, and Bayesian updating. The document includes lecture notes, tutorials, worked exam exercises, and a quick-reference guide spanning core topics from Python basics (lists, dictionaries, NumPy, Pandas) through advanced techniques like PCA, logistic regression, LDA, and model averaging. Ideal for exam pre...

Theory of Markets Complete Course Summary Microeconomic Theory: Competitive Markets, Welfare Theorems, Externalities & Public Goods, Market Power, General Equilibrium, Uncertainty & Asset Markets, and Strategic Market Interaction