ECON 3389 Machine Learning for Economics
Large scale datasets, both in length (number of observations) and width (number of variables) have become ubiquitous across many applied areas. The goal of this course is to provide an introduction to methods that allow us to use these datasets for forecasting and classification, as well as for simplifying these very wide datasets with dimensionality reduction methods. The course will also examine how to explore network connectivity with such long and wide datasets. The course will make use of computational libraries from Python, Julia, or Matlab, but students are free to make use of other coding methods, such as R or Stata.
Course overview
- Department
- Economics
- School
- MCAS
- Credits
- 3
- Level
- Undergraduate
- Offered
- Every Spring
Catalog details
- Prerequisites
- ECON1151
Requirements fulfilled
Course evaluations
- Course rating
- 3.61 / 5 · Very Good
- Instructor rating
- 3.82 / 5 · Very Good
- Terms evaluated
- 11
| Term | Instructor | Course overall | Instructor overall | Well organized | Clear learning objectives | Intellectually challenging | Helpful assignments | Applicable beyond course | Attendance necessary | Weekly effort | Responses |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Spring 2026 | Pietro Visaggio | 3.5 | 3.8 | 3.9 | 3.8 | 4.4 | 3.8 | 4.3 | 3.8 | 4–6 hrs/week | 21 of 24 |
| Fall 2025 | Pietro Visaggio | 3.2 | 3.4 | 3.5 | 3.6 | 4.3 | 3.4 | 4.0 | 3.6 | 1–3 hrs/week | 20 of 24 |
| Spring 2025 | Shane Mcmiken | 3.8 | 4.2 | 4.3 | 4.4 | 4.6 | 4.3 | 4.5 | 4.3 | 4–6 hrs/week | 39 of 47 |
| Fall 2024 | Anshuman Bhakri | 3.9 | 3.6 | 4.0 | 4.1 | 4.3 | 4.4 | 4.6 | 4.1 | 4–6 hrs/week | 8 of 10 |
| Summer 2024 | Yunus Semih Coskun | 3.8 | 4.2 | 4.3 | 4.0 | 4.5 | 4.3 | 4.7 | 4.5 | 4–6 hrs/week | 6 of 6 |
| Spring 2024 | Arnab Palit | 3.7 | 4.1 | 4.5 | 3.9 | 4.5 | 3.3 | 4.4 | 3.7 | 4–6 hrs/week | 17 of 21 |
| Fall 2023 | Arnab Palit | — | — | — | — | — | — | — | — | — | 42 of 50 |
| Summer 2023 | Arnab Palit | — | — | — | — | — | — | — | — | — | 5 of 12 |
| Summer 2023 | Yunus Semih Coskun | — | — | — | — | — | — | — | — | — | 2 of 2 |
| Summer 2022 | Anatoly Arlashin | 3.7 | 3.8 | 4.5 | 4.3 | 4.5 | 4.4 | 4.6 | 4.8 | 7–9 hrs/week | 6 of 24 |
| Spring 2022 | Haydar Evren | 3.7 | 3.9 | 4.3 | 4.3 | 4.3 | 4.3 | 4.2 | 3.6 | 4–6 hrs/week | 33 of 70 |
| Fall 2021 | Anatoly Arlashin | 3.4 | 3.5 | 4.3 | 4.3 | 4.5 | 4.2 | 4.0 | 3.3 | 4–6 hrs/week | 50 of 74 |
Data freshness
Instructors
Sections
- Section 01
- Section 01
- Section 01