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ConocoPhillips Datathon Challenge

[Jupyter Notebook] [Kaggle Competition] [TAMU Datathon]

ConocoPhillips give a challenge for The TAMU Datathon to make a predictor for whether an oil rig would fail given a set of sensor values (107 columns).

Here is our naive exploration of creating various classifiers to predict of a given state of sensor data would lead to a rig failure.

Key takeaways

  • Pandas is pretty neat
  • Jupyter is also pretty neat
  • We live in the matrix where Ax = b
  • We have a long way to go to be data science masters

Authors

  • Aditya Pethe
  • Anikait Sharma
  • George Thayamkery
  • Jon Waterman

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ConocoPhillips 2019 data challenge

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