maxprodigy/Optimization-Using-Gradient-Descent-Linear-Regression
View on GitHub ↗Related repositories →In this assignment, I built a simple linear regression model to predict sales based on TV marketing expenses. I also investigated three different approaches to this problem using NumPy and Scikit-Learn linear regression models, as well as constructing and optimization of the sum of squares cost function with gradient descent from scratch.
active 2024-11-04 → 2024-11-04 (UTC)
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Line chart, 1 days from 2024-11-04 to 2024-11-04. Pushes: 4 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: 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 |
|---|---|---|---|---|
| maxprodigy | 4 | 4 | 0 | 0 |
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