Data Sciences

Participant Team Size: 1 - 4.
Judging System: The team which achieves the highest performance metric (e.g. F1-score or RMSE) and follows the standard approach will be the crowned winner.

Rules

  • There will be only one round of about 3-5 hours (Tentative).
  • Participants will be provided with the basic stationery (sheet, pencil, pen).
  • Participants need to bring their own machines for the competition with all the dependencies installed for their selected language/platform.
  • Participants can use any language and framework.
  • The competition will be open-internet. Internet connections will be provided by the organizers. However, participants can also bring their own internet devices to avoid inconvenience.
  • Participants will be given the Training and Testing Dataset through USB or Server (Note: Only Training Data will have target Label/Output values).
  • Participants need to submit the following at the end of the competition:
    - The predictions for the Testing Data in a CSV/XLS file using a USB/Server. (USB will be provided
    - A one-page document which defines the selected approach briefly. This may include data cleaning methods used, data exploration and visualization, feature engineering techniques (if applied) and selected Machine Learning Model (Grading will not be affected by hyper-parameter tuning).