Giter VIP home page Giter VIP logo

spotifymusic's Introduction

Spotify Dataset Analysis

This is a project of Python Advanced MultiVariate Stats Lab.


The project aims to use Python Modular Structure and apply understanding of Maximum Likelihood Estimation, Boostrap resampling method, Regression and Clustering on analysing the dataset.

The data contained in data.csv.zip represents various features from songs extracted using Spotify API, unzip before using it. Source

Funtions

  • Implementing a linear regressor based on Maximum Likelihood Estimation
  • Computing the L1 error of the linear estimator and plot the predicted value
  • Computing the confidence interval using bootstrap resampling method
  • clustering the data according to the 'key' columns and report

License

MIT

spotifymusic's People

Contributors

jyanqa 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.