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A data set of 30000 records and 24 variables containing information on defaults, demographic factors, credit data, delinquency, repayment and billed amounts of a credit card client in Taiwan from April 2005 to September 2005. The objective was to apply statistical, data visualization and Machine learning techniques (supervised and unsupervised) …

  • Updated Feb 22, 2021
  • R

Pernahkah terpikirkan bahwa suara khususnya musik dapat diklasifikasikan berdasarkan genrenya. Hal ini dikarenakan setiap musik memiliki audio features yang berbeda sesuai genrenya. Energy, accousticness, danceability, loudness, speechiness, tempo dan valence merupakan audio features yang saya gunakan dalam mengklasifikan genre musik menggunakan…

  • Updated Aug 26, 2018
  • R

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