A problem statement given by American Express in their flagship event - Analyze This 2019 conducted across major IITs and Analytics campuses in India (A participation of over 1000+ students). The problem statement consisted of a dataset of their clients with 20 Explanatory variables and one Response Variable. We had to assign a credit line (Low/Medium/High) for any given new customer based on his/her financial records kept with the bank.
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Data Files
- 'development_dataset.csv' : The training data consisting of 34,000 entries of 21 features
- 'leaderboard_dataset.csv' : The leaderboard dataset consisting of 10,000 entries without class labels.
- 'Evaluation_dataset.csv' : The final dataset used for submission.
- main.py : The notebook consisting of solution used during the competition.
This was done along with my team mate Siddhant Jagtap at IIT Guwahati.