Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/harmanveer-2546/guide-to-regularization
Regularization is a crucial technique in machine learning that helps to prevent overfitting. Overfitting occurs when a model becomes too complex and learns the training data so well that it fails to generalize to new, unseen data.
https://github.com/harmanveer-2546/guide-to-regularization
generalization inline l1 l2 matplotlib numpy overfitting overfitting-prevention overfitting-reduced pandas regularization regularization-methods regularization-techniques regularization-to-avoid-overfitting seaborn
Last synced: 1 day ago
JSON representation
Regularization is a crucial technique in machine learning that helps to prevent overfitting. Overfitting occurs when a model becomes too complex and learns the training data so well that it fails to generalize to new, unseen data.
- Host: GitHub
- URL: https://github.com/harmanveer-2546/guide-to-regularization
- Owner: harmanveer-2546
- Created: 2024-09-08T10:29:37.000Z (19 days ago)
- Default Branch: main
- Last Pushed: 2024-09-08T10:37:44.000Z (19 days ago)
- Last Synced: 2024-09-26T04:22:12.261Z (1 day ago)
- Topics: generalization, inline, l1, l2, matplotlib, numpy, overfitting, overfitting-prevention, overfitting-reduced, pandas, regularization, regularization-methods, regularization-techniques, regularization-to-avoid-overfitting, seaborn
- Language: Jupyter Notebook
- Homepage:
- Size: 879 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0