Logistic-Regression | applying logistic regression to a small data set

by tvdboom Jupyter Notebook Version: Current License: No License

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kandi X-RAY | Logistic-Regression Summary

Logistic-Regression is a Jupyter Notebook library. Logistic-Regression has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Exercise on applying logistic regression to a small data set. Coded in Python with Jupyter Notebook.

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Support

Logistic-Regression has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

Logistic-Regression has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Logistic-Regression is current.

Quality

Logistic-Regression has no bugs reported.

Security

Logistic-Regression has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Logistic-Regression does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Logistic-Regression releases are not available. You will need to build from source code and install.

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Logistic-Regression Key Features

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Logistic-Regression Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install Logistic-Regression

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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