This competition is for the 9/23 cohort of the Morgan Stanley Part Time Data Science Course
Purpose
You will be using a dataset derived from the Lending Club competition and trying to determine if you can accurately predict if a loan is going to default or not:
Use any modeling, ensembling , feature engineering and selection techniques to try and maximize your prediction accuracy
The target is the Account Loan Status column
Work individually or in teams of 2/3, you can make a maximum of 5 submissions a day. Make sure to include the names of the participants in your time. Check the leaderboard to see who is winning
Note: Make sure that the submission file format is the same as the example provided. Use the Id column as the index
Note: You can make a total of 5 submissions a day