Giter Club home page Giter Club logo

machine-learning-naive-bayes-spam-emails's Introduction

Machine Learning w/ JavaFX

Application: Naive Bayes Spam Filtering

Screenshot:

spamdetection

Pull:

* https://github.com/adwansyed/SpamDetection-with-Machine-Learning.git 

Main Success Scenario:

* Select "Training" directory -> ../data/train/
* Select "Testing" directory -> ../data/test/
* Results will populate

Future improvements:

  • Bag of words bayesian spam detector can be improved by attempting other machine learning algorithms like K-Nearest-Neighbors and other frequent itemset algorithms
  • Increase training datasets with larger and newer datasets

References:

machine-learning-naive-bayes-spam-emails's People

Contributors

adwansyed avatar

Stargazers

 avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.