Published March 1, 2026
| Version v0.1.0
Software
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L2-regularization-ridge-regression-course
Description
This project provides a mathematically rigorous treatment and production-style implementation of the L2 regularization ridge regression optimization algorithm, including theoretical derivation, convergence analysis, and numerical experiments.
Notes
If you use this project in research or academic work, please cite it using the information below.
Files
SENATOROVAI/L2-regularization-ridge-regression-course-v0.1.0.zip
Files
(49.4 kB)
| Name | Size | Download all |
|---|---|---|
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md5:9a7060318cd0c9df12df6758f86fda15
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Additional details
Related works
- Is supplement to
- Software: https://github.com/SENATOROVAI/L2-regularization-ridge-regression-course/tree/v0.1.0 (URL)