- Counted the Null values.
- Grouped by various properties.
Used the Seaborn and Matplotlib libraries for plotting graphs!
- Merged the two csv files.
- features significant for determining fraud
- Predicting on Train Set
- Predicting on Test Set
- Confusion Matrix
- Precision, Recall, F-measure and Support
- Plotting Important Features