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Classification of Celestial Objects with Machine Learning Algorithms. This is a project I did for a data science class recently to compare the performance of k-NN and decision tree models.

astronomy astrophysics decision-tree galaxy k-nn machine-learning machine-learning-algorithms qso rapid-miner star

sdss_analysis's Introduction

Hi there, I'm Morgan ๐Ÿ‘‹

I'm a data analyst with a passion for using data to make the world a better place. I have an eye for detail and love to dig into a data rabbit hole when there's something unusual to check out. I'm interested in a broad range of data applications, including those in healthcare, climate/sustainability/energy, the sociopolitical landscape, economics, and physics/astronomy/space exploration.

  • ๐Ÿ”ญ Iโ€™m currently working on population health analytics
  • ๐ŸŒฑ Iโ€™m currently learning dbt & Python ๐Ÿ
  • ๐Ÿ‘ฏ Iโ€™m looking to collaborate on open source projects for the public good
  • ๐ŸŽจ I do data viz too! Check out my Tableau portfolio
  • ๐Ÿ“ซ Want to connect? Give me a shout on LinkedIn
  • ๐Ÿš€ Fun fact: I love space! Ask me about black holes ๐Ÿค“

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