Economic Applications of Machine Learning with Python

3 Credits

Offers a comprehensive examination of the concepts and techniques used in machine learning using Python, with specific emphasis on their applications in economics. Students will explore linear and non-linear regression and classification methods, k-nearest neighbors, tree-based approaches, support vector machines, neural networks, regularization, and dimensionality reduction methods. The course also offers a wide range of assessments, model evaluation, and model selection methods.