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predicting a continuous target based on a number of feature columns given in the data. All of the feature columns, cat0 - cat9 are categorical, and the feature columns cont0 - cont13 are continuous.The dataset is used for this competition is synthetic, but based on a real dataset and generated using a CTGAN. The original dataset deals with predicting the amount of an insurance claim. Although the features are anonymized, they have properties relating to real-world features.

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kaggle-tabular_playground_series_feb_2021's Introduction

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Nice to meet you, I'm Anthony handwave

  • 💻 I'm currently learning Java, Ruby and Linux OS.
  • 📚 I studied Master of Data Science @ University of Sydney
  • 🙌 Currently SDE I @ AWS
  • 🎷 I listen to Cafe Jazz when I code
Be Humble, Stay Curious

2024 Goals

  • 💪 Get better at software designs
  • 🚀 Start contributing to Open Source
  • ⚡ Write cleaner code
  • 🚧 Personal Portfolio - Coming Soon!

Connect with me:

linkedin   twitter


Lanugage and Tools:

Web Development:

vsc   html5   css3   javscript   react   git   npm   jest   testing-library  

Machine Learning | Data Science:

jupyter   pycharm   python   numpy   scikitlearn   scipy   postgresql   tensorflow   pytorch  



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