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Graduate Programs

ECO2425H1F Applied Causal Machine Learning

This course is designed for students aspiring to work at the intersection of economics, data science, and technology, particularly those interested in leveraging machine learning (ML) and newly developed causal machine learning models for addressing real-world economic questions. The focus will be on providing students with the skills necessary to conduct edge-of-knowledge economic research, interpret results and apply this knowledge to academic and industry questions. This course will be primarily in Python.

Section L0101, Fall 2024–25

Instructor: Nazanin Khazra
Day/time: T4-6, W1-2

Delivery Method & Instructions: In Person


TAs: