benkim2284/Regression-Machine-Learning-Model-for-Wine-Quality-Prediction
View on GitHub ↗Related repositories →Linear Regression Machine Learning Model from scratch (only numpy and matplotlib). This model has 12 input variables and one target. By utilizing gradient descent during the back propagation process, I adjust the weights and biases to effectively train the model. As my first time working with matrices in python, it was a super cool experience!
active 2024-03-02 → 2024-04-20 (UTC)
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Line chart, 50 days from 2024-03-02 to 2024-04-20. Pushes: 7 total, peak 4 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: 2 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 |
|---|---|---|---|---|
| benkim2284 | 7 | 7 | 0 | 0 |
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Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 2 stars here means stars gained during the window, not the repo's star count.