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This project aimed to investigate the topic differences between song lyrics written by male and female artists. The project involved using natural language processing to topic model on the song lyrics, and also included a web application that recommends songs based on lyrics written by an artist of the opposite gender

Jupyter Notebook 99.54% Python 0.46%
song-lyrics female-artists recommended-songs music gender-differences natural-language-processing nmf lda

gender_differences_in_songs's Introduction

My name is Zachary Brandt. I am a data scientist with a background in music and neuroscience. I am interested in conducting academic research in the domains of music, psychology, and data science. I am a creator who loves the entire project pipeline from asking questions, collecting data, analyzing and modeling the data, to creating web apps and slide decks. My goal in life is to create and be a resource to people who, like me, have a passion for music and science.

  • ๐Ÿ‘‹ Hi, Iโ€™m @maestrobrandt
  • ๐Ÿ‘€ Iโ€™m interested in music and data science, and finding a company that shares those passions
  • โญ I am skilled at Python, SQL, Tableau, and Machine Learning
  • ๐Ÿ“ซ You can reach me at [email protected] or through my LinkedIn

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