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 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 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...
Jul 6, 2020 | Artificial Intelligence, Data Science, Machine Learning, Python Programming
Multiple Logistic Regression is used to fit a model when the dependent variable is binary and there is more than one independent predictor variable. Before you proceed, I hope you have read our...
Jul 5, 2020 | Data Science, Machine Learning, Python Programming
Information Value and Weight of Evidence (WoE) are the two most used concepts in Logistic Regression for variable selection and variable transformation respectively. Information Value helps quantify...
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