https://github.com/laraib-azmat/logestic_regression
Logistic Regression is a statistical method used for binary classification that predicts probabilities using the sigmoid function. It optimizes weights through gradient descent to minimize the log-loss cost function. Commonly applied in tasks like spam detection, medical diagnosis, and customer churn prediction.
https://github.com/laraib-azmat/logestic_regression
algorithms googlecolab logestic-regression machine-learning python
Last synced: about 1 month ago
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Logistic Regression is a statistical method used for binary classification that predicts probabilities using the sigmoid function. It optimizes weights through gradient descent to minimize the log-loss cost function. Commonly applied in tasks like spam detection, medical diagnosis, and customer churn prediction.
- Host: GitHub
- URL: https://github.com/laraib-azmat/logestic_regression
- Owner: Laraib-Azmat
- Created: 2024-12-07T10:08:00.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2025-01-09T09:59:56.000Z (over 1 year ago)
- Last Synced: 2025-01-09T10:49:19.418Z (over 1 year ago)
- Topics: algorithms, googlecolab, logestic-regression, machine-learning, python
- Language: Jupyter Notebook
- Homepage:
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- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0