Sep 2, 2020 | Credit Scoring, Data Science, Machine Learning, Retail Banking
There are many advanced analytics use cases in banking spaces. Advanced analytics is used in credit decisions, fraud detection, predictive analytics, marketing, etc. In this blog, we will see how...
Aug 15, 2020 | Artificial Intelligence, Data Science, Machine Learning
So far in our previous blogs, we have learned Rank Order, K-S, Gains table, Lift, Classification Accuracy, Precision, Recall, Sensitivity-Specificity, AUC-ROC Curve. In this blog, we will learn...
Aug 15, 2020 | Credit Scoring, Data Science, Retail Banking
Definitions Credit Analysis is an evaluation of the creditworthiness of an individual or business or organization. Credit Risk Scorecards are mathematical models that attempt to quantify the...
Aug 9, 2020 | Artificial Intelligence, Data Science, Machine Learning
Classification Accuracy is defined as the number of cases correctly classified by a classifier model divided by the total number of cases. It is specifically used to measure the performance of the...
Jul 30, 2020 | Credit Scoring, Data Science, Retail Banking
Credit Analysis is an evaluation of the creditworthiness of an individual or business or organization. The objective of the credit analysis is to gauge the ability & intent of the loan applicant...
Jul 7, 2020 | Artificial Intelligence, Data Science, Machine Learning
How do you evaluate a machine learning model? In Machine Learning, there are various metrics to evaluate the performance of a model and gauge its efficacy. In this blog series, we will learn 7...
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