Play_Tennis-DT- | DecisionTree algorithm on a Dataset which has 4 features

by Rvp127 Jupyter Notebook Version: Current License: No License

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kandi X-RAY | Play_Tennis-DT- Summary

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

This Code is for understanding the usage of DecisionTree algorithm on a Dataset which has 4 features(or columns) i.e. Outlook, Temperature, Humidity & Wind related to decision column(or feature) called Playtennis. This code mainly demonstrates how these features make the decision to play tennis.

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Support

Play_Tennis-DT- has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

Play_Tennis-DT- has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Play_Tennis-DT- is current.

Quality

Play_Tennis-DT- has no bugs reported.

Security

Play_Tennis-DT- has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Play_Tennis-DT- 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.

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

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Play_Tennis-DT- Key Features

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Play_Tennis-DT- Examples and Code Snippets

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Install Play_Tennis-DT-

You can download it from GitHub.

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