This project belongs to Coursera Data Science Project Program. We're given 3 datasets:
- train data
- test data
- description of columns Task is to predict whether the given individual is loan defaulter or not. I used Logistic Regression, Decision Tree, RandomForest and KNN algorithms. RandomForest performed better, hence i proceeded with this one.
Thanks. Awaiting guidance and feedback.