Play_Tennis-DT- | DecisionTree algorithm on a Dataset which has 4 features
kandi X-RAY | Play_Tennis-DT- Summary
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.
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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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.
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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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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Play_Tennis-DT-
Play_Tennis-DT- Key Features
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Play_Tennis-DT- Examples and Code Snippets
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