/OBL-Data-Innovation-Challenge

repo with code of Qualifier Data Science Challenge of OBL Data Challenge

Primary LanguageJupyter Notebook

OBL-Data-Innovation-Challenge : Qualifier Round

  • This is the code repo for the OBL Qualifier Data Science Challenge.
  • Machine Learning technique used: XGBoost with GridSearch
  • Team name: null_shredders:
  • Rank: 18 | Score: 99.915341
  • Result: Qualified for the Final Round.
  • Final Hackathon Round yet to be held.

Competition Official Website: Click Here

Details of the Challenge mentioned in Description.md

Problem Description:

  • The objective of the problem is to predict values “Price” attribute from the given features of the Test data. The predictions are to be written to a CSV file along with ID which is the unique identifier for each tuple. Please view the sample submission file to understand how the submission file is to be written. Please upload the submission file to get a score.