manvendra-nema/Implementing-AdaBoost.M1-for-Digit-Classification
View on GitHub ↗Related repositories →Classify digits 0 and 1, labeled as -1 and 1. Implement AdaBoost.M1 with PCA for dimensionality reduction, and decision stumps as weak classifiers. Follow a structured approach including data division, weight updates, and accuracy evaluation. Explore the impact of boosting on classification accuracy through visualizations and detailed analysis.
active 2024-08-04 → 2024-08-04 (UTC)
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Line chart, 1 days from 2024-08-04 to 2024-08-04. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 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 |
|---|---|---|---|---|
| manvendra-nema | 2 | 2 | 0 | 0 |
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