The project involved developing a credit risk default model to identify a group of customers who are willing to take personal loans using a given data that had to be checked for outliers, missing values, multicollinearity, etc.
random-forest
accuracy
logistic-regression
decision-trees
multicollinearity
outlier-treatment
pricision
univariate-bivariate-analysis
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Updated
Dec 9, 2021 - R