DateYourDataHackathon | Intelligent matching algorithm to provide meaningul profile
kandi X-RAY | DateYourDataHackathon Summary
kandi X-RAY | DateYourDataHackathon Summary
DateYourDataHackathon is a Python library. DateYourDataHackathon has no bugs, it has no vulnerabilities and it has low support. However DateYourDataHackathon build file is not available. You can download it from GitHub.
Internship.csv includes the details of all the internships posted on Internshala. These details are filled by the company floating the Internship. Each row represents one internship. Student.csv includes details of the students applying for the internship. These details have been filled by the student. Each row represents an experience of the student. In case the student has not filled any experience, there would be only one row containing details of student. test.csv & train.csv include the application details (as applied by student) and the shortlist outcome.
Internship.csv includes the details of all the internships posted on Internshala. These details are filled by the company floating the Internship. Each row represents one internship. Student.csv includes details of the students applying for the internship. These details have been filled by the student. Each row represents an experience of the student. In case the student has not filled any experience, there would be only one row containing details of student. test.csv & train.csv include the application details (as applied by student) and the shortlist outcome.
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Quality
Security
License
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Support
DateYourDataHackathon 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.
DateYourDataHackathon has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of DateYourDataHackathon is current.
Quality
DateYourDataHackathon has no bugs reported.
Security
DateYourDataHackathon has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
DateYourDataHackathon 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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DateYourDataHackathon releases are not available. You will need to build from source code and install.
DateYourDataHackathon has no build file. You will be need to create the build yourself to build the component from source.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of DateYourDataHackathon
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of DateYourDataHackathon
DateYourDataHackathon Key Features
No Key Features are available at this moment for DateYourDataHackathon.
DateYourDataHackathon Examples and Code Snippets
No Code Snippets are available at this moment for DateYourDataHackathon.
Community Discussions
No Community Discussions are available at this moment for DateYourDataHackathon.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install DateYourDataHackathon
You can download it from GitHub.
You can use DateYourDataHackathon like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use DateYourDataHackathon like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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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