With an increasing number of machine learning algorithms emerging, it is important to pay attention to learning capacity. Large volumes of data and misdimensioning of an algorithm can result in significant project costs, team time, reengineering, and training failures.
In order to help mitigate these problems, the PAC Learning Module Calculator has been developed, which can suggest effective machine learning algorithms for your project.
Please feel free to suggest improvements!
- Demo
- Quick Start
- Documentation
- File Structure
- Browser Support
- Resources
- Technical Support or Questions
- Licensing
Please read the following instructions carefully before starting the installation process: guide
The documentation for PAC Learning Module Calculator here.
At present, we officially aim to support the last two versions of the following browsers:
- Demo: http://35.237.251.62/#/dashboard
- User Manual: https://github.com/felipeservicos/PacLearningModuleCalculator/wiki/Users-Manual
- Installation Instructions: https://github.com/felipeservicos/PacLearningModuleCalculator/wiki/Installation-Instructions
- Technical Documentation: https://github.com/felipeservicos/PacLearningModuleCalculator/wiki/Technical-Documentation
- FrontEnd Repository: https://github.com/felipeservicos/vue-material-dashboard
If you have questions or need help integrating the product please send an e-mail to [email protected]
- Licensed under MIT
React
Typescript
Django
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Facebook
Microsoft
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Alibaba
D3
Tencent