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Song Hit Prediction
Song Hit Prediction
In this work, we attempt to solve the Hit Song Science problem, which aims to predict which songs will become chart-topping hits. We constructed a dataset with approximately 1.8 million hit and non-hit songs and extracted their audio features using the Spotify Web API. We test four models on our dataset. Our best model was random forest, which was able to predict Billboard song success with 88% accuracy.
Kai Middlebrook, Kian Sheik
OS Assignment
OS Assignment
Linux Distribution
Tamim
Siddhesh Dosi's Resume
Siddhesh Dosi's Resume
Siddhesh Dosi's Resume. Created using the Medium Length CV template.
Siddhesh dosi
Nitin Bawane's Résumé
Nitin Bawane's Résumé
Nitin Bawane's Computer Science Resume. Created with the Modern CV template.
Nitin Bawane
Marilisa Scollo's CV
Marilisa Scollo's CV
Marilisa Scollo's CV. Created with the AltaCV template.
Marilisa Scollo
Abhishek Dutta's Curriculum Vitae
Abhishek Dutta's Curriculum Vitae
31st Aug, 2019. Resume for 2+ year experience in IT field. Created with the Modern CV template.
Abhishek Dutta
UNIRIS Yellow Papers
UNIRIS Yellow Papers
Uniris Blockchain : Season 1 -- A Truly Decentralized and Limitless Network
Uniris Team