The aim of this practice is to apply the concepts learned about constructing linear models, K-Nearest Neighbors (KNN), and decision trees to a dynamic prediction problem in a financial context. The student should be able to implement these Machine Learning models in Python, including the associated metrics and other analyses.
active 2023-10-05 → 2024-09-03 (UTC)
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Line chart, 335 days from 2023-10-05 to 2024-09-03. Pushes: 0 total, peak 0 in a day. Pull requests: 1 total, peak 1 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.
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Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Adarve999 | 1 | 0 | 1 | 0 |
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