Machine Learning for Trading(ML4T)
Applied ML in financial markets: data, indicators, supervised/RL approaches, and portfolio strategies.
Distributions
22 reviews — mean bin highlighted.Logistics
- Python
- Machine Learningelective
- Computing Systemselective
Reviews (22)
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- 5 / 5Difficulty2/5Workload22 hr/wkRecommendYes
manageable pace, moderate hours weekly. Coming in I had industry experience in backend. Glad I stuck with it.
- 3 / 5Difficulty2/5Workload16 hr/wkRecommendYes
Took this in Fall 2025. Workload averaged ~16 hrs/wk. Difficulty felt manageable. Instructors engage in forums.
- 5 / 5Difficulty3/5Workload14 hr/wkRecommendYes
Project-driven course. Most of the 14 hrs/wk go to assignments rather than lectures.
- 4 / 5Difficulty2/5Workload19 hr/wkRecommendYes
Honest review: manageable class, moderate workload. Loved assignments build on each other. Hated group dynamics are hit or miss.
- 4 / 5Difficulty3/5Workload17 hr/wkRecommendYes
Would I take it again? Yes. The course rewards consistent weekly effort.
- 4 / 5Difficulty2/5Workload14 hr/wkRecommendYes
manageable pace, light hours weekly. Coming in I had limited Python exposure. Glad I stuck with it.
- 5 / 5Difficulty3/5Workload7 hr/wkRecommendYes
Would I take it again? Yes. The course rewards consistent weekly effort.
- 4 / 5Difficulty2/5Workload18 hr/wkRecommendYes
Took this in Fall 2025. Workload averaged ~18 hrs/wk. Difficulty felt manageable. Great auto-grader feedback.
- 4 / 5Difficulty2/5Workload4 hr/wkRecommendYes
Honest review: manageable class, light workload. Loved reasonable tooling, no setup hell. Hated heavy reading load.
- 5 / 5Difficulty2/5Workload10 hr/wkRecommendYes
manageable pace, light hours weekly. Coming in I had an undergrad CS background. Glad I stuck with it.
- 3 / 5Difficulty1/5Workload1 hr/wkRecommendYes
manageable pace, light hours weekly. Coming in I had a math-heavy background. Glad I stuck with it.
- 5 / 5Difficulty3/5Workload19 hr/wkRecommendYes
Would I take it again? Yes. The course rewards consistent weekly effort.
- 2 / 5Difficulty2/5Workload9 hr/wkRecommendNo
manageable pace, light hours weekly. Coming in I had two prior OMSCS courses. Glad I stuck with it.
- 4 / 5Difficulty2/5Workload6 hr/wkRecommendYes
Honest review: manageable class, light workload. Loved assignments build on each other. Hated group dynamics are hit or miss.
- 3 / 5Difficulty2/5Workload26 hr/wkRecommendYes
Took this in Fall 2022. Workload averaged ~26 hrs/wk. Difficulty felt manageable. Projects feel real-world.
- 3 / 5Difficulty3/5Workload15 hr/wkRecommendYes
Honest review: fair class, moderate workload. Loved lectures are well-produced. Hated tooling can be finicky.
- 5 / 5Difficulty1/5Workload6 hr/wkRecommendYes
Project-driven course. Most of the 6 hrs/wk go to assignments rather than lectures.
- 5 / 5Difficulty1/5Workload10 hr/wkRecommendYes
Project-driven course. Most of the 10 hrs/wk go to assignments rather than lectures.
- 4 / 5Difficulty2/5Workload1 hr/wkRecommendYes
Project-driven course. Most of the 1 hrs/wk go to assignments rather than lectures.
- 4 / 5Difficulty2/5Workload4 hr/wkRecommendYes
Took this in Summer 2024. Workload averaged ~4 hrs/wk. Difficulty felt manageable. Instructors engage in forums.
- 4 / 5Difficulty3/5Workload30 hr/wkRecommendYes
fair pace, heavy hours weekly. Coming in I had two prior OMSCS courses. Glad I stuck with it.
- 4 / 5Difficulty2/5Workload6 hr/wkRecommendYes
Honest review: manageable class, light workload. Loved great auto-grader feedback. Hated group dynamics are hit or miss.