By using the polish bank data from the University of Irvine I made this system which can accurately analyze bank data, predict missing data values and accurately generate graphs and charts to make a report.
- The system and report are used and accessed by ACML Capital markets limited. CFO of ACML has verified it and appreciated the report of the same and has also given LOR.
- The system uses Mean Imputation, K-NN Imputation, EM Imputation and MICE Imputation.
- The system uses models like Gradient boosting, Decision trees, Random forest, Naive Bayes, Balanced bagging and logistic regression.