dipdata | Linear Regression on Boston Housing Dataset
kandi X-RAY | dipdata Summary
kandi X-RAY | dipdata Summary
dipdata is a Jupyter Notebook library. dipdata has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
Linear Regression on Boston Housing Dataset. Cross-validated grid-search on Loan Dataset where TARGET Label: 1 = client defaulted on loan - 0 = loan repaid.
Linear Regression on Boston Housing Dataset. Cross-validated grid-search on Loan Dataset where TARGET Label: 1 = client defaulted on loan - 0 = loan repaid.
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Support
dipdata has a low active ecosystem.
It has 0 star(s) with 1 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
dipdata has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of dipdata is current.
Quality
dipdata has no bugs reported.
Security
dipdata has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
dipdata is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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dipdata releases are not available. You will need to build from source code and install.
Installation instructions are not available. Examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of dipdata
dipdata Key Features
No Key Features are available at this moment for dipdata.
dipdata Examples and Code Snippets
No Code Snippets are available at this moment for dipdata.
Community Discussions
No Community Discussions are available at this moment for dipdata.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install dipdata
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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