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The objective of this study is to train and compare multiple predictive models using supervised learning techniques to finally select an optimal model that accurately classifies defaulters and non-defaulters

License: MIT License

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credit_risk_management's Introduction


Hey ๐Ÿ‘‹, I'm Carlos Barros!

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I'm glad to see you here!

Machine Learning Engineer with experience in projects and works focusing on helping companies to empower themselves from data to obtain greater performance and profitability supported by the latest technological advances. I love to explore and learn about new things.

  • ๐ŸŒฑ Iโ€™m currently learning Java and Scala.
  • ๐Ÿ”ญ Iโ€™m currently working on build different predictive models in the financial sector.
  • ๐Ÿ˜€ I like cooking ๐Ÿ‘จโ€๐Ÿณ, reading ๐Ÿ“š, climbing ๐Ÿง—โ€โ™‚๏ธ, photography ๐Ÿ“ธ and playing the violin ๐ŸŽป.
  • ๐Ÿ“ซ Read my blogs: Carlos Barros.
  • ๐Ÿ’ฌ Ask me about anything an everything.
  • ๐ŸŽฏ Portfolio site: Portfolio
  • โšก Fun fact: My first line of code was not "Hello World!"

Languages and Tools

C AWS Python Bash Linux Git Docker PostgreSQL TensorFlow Tableau pytorch Latex Flask HTML5 MySQL Keras R

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