made by @JuliaArlan
In this progect I made some classification models to solve problem of credit scoring
Dataset was taken from Kaggle
target - feature 'class', 'good' - for clients, which are more likely to repay the loan, 'bad', accordingly, opposite.
Describing of columns in the file 'describing.txt'
Used libraries:
pandas
seaborn
numpy
matplotlib
sklearn
Used models Logistic Regression Linear Support Vector Machine Gradient Boosting Random Forest KNN Stohastic Gradient Descent Dummy