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https://github.com/gracysapra/logistic-regression-transfer-learning
This project demonstrates transfer learning using Logistic Regression by creating a reusable module. The logistic regression model is trained in one file, saved, and then imported into another file to make predictions. The project showcases modularization for logistic regression tasks and includes accuracy evaluation.
https://github.com/gracysapra/logistic-regression-transfer-learning
classification logistic-regression machine-learning modules prediction transfer-learning
Last synced: 15 days ago
JSON representation
This project demonstrates transfer learning using Logistic Regression by creating a reusable module. The logistic regression model is trained in one file, saved, and then imported into another file to make predictions. The project showcases modularization for logistic regression tasks and includes accuracy evaluation.
- Host: GitHub
- URL: https://github.com/gracysapra/logistic-regression-transfer-learning
- Owner: Gracysapra
- Created: 2024-09-18T05:13:14.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2024-09-18T05:20:33.000Z (4 months ago)
- Last Synced: 2024-11-11T22:39:35.713Z (2 months ago)
- Topics: classification, logistic-regression, machine-learning, modules, prediction, transfer-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 9.77 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0