GithubHelp home page GithubHelp logo

pauladj / ml-tfm-predict-kpop-songs-hits Goto Github PK

View Code? Open in Web Editor NEW
0.0 1.0 0.0 11.63 MB

TFM. Predict if a K-Pop song will be a hit.

Python 0.18% Jupyter Notebook 41.99% HTML 57.82%
kpop k-pop korea classfication hit-song-science hit-songs music python jupyter-notebook

ml-tfm-predict-kpop-songs-hits's Introduction

Hi there! I'm Paula

LinkedIn

  • ๐ŸŒ Spain
  • ๐Ÿ’ป I'm a Software Engineer
  • โค๏ธ I'm passionate about software development & building digital experiences
  • ๐ŸŽ“ BSc Degree in Informatics (UPV/EHU) and MSc in Data Science
  • โœ‰๏ธ You can reach me here: [email protected]

ml-tfm-predict-kpop-songs-hits's People

Contributors

pauladj avatar

Watchers

 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.