7 Important Model Performance Measures
Model Performance Measures: Rank Order, K-S, Gains Table, Lift Chart, Classification Accuracy, AUC-ROC, Concordance, Gini Coefficient, H-L Goodness of Fit.
Linear Regression in Machine Learning
This blog series provides a detailed step-by-step guide to building the Linear Regression Machine Learning model with Python and R code.
Introduction to Statistics for Data Science
Data science is an inter-disciplinary field that uses scientific methods, systems to extract knowledge from structural and unstructured data.
Introduction to Logistic Regression
Logistic Regression is a machine learning technique which is used to model the probability of an event or class having a binary outcome.
Analysis of Two Variables – One Categorical and Other Continuous
So Far in our earlier blogs, We have discussed the Analysis of Single Continuous Variable, Analysis of Single Categorical Variable, Analysis of Two Continous Variables, and Analysis of Two Categorical Variables. In this blog, we...
Overview of Capital Adequacy Ratio (CAR)
Capital Adequacy Ratio (CAR) is the ratio of banks capital to risk weighted assets (RWA). CAR norms are stipulated to safeguard the depositor’s money.
Advanced Analytics Use Cases in 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 some of the top-notch private banks like HDFC Bank, ICICI Bank are...
Concordance, Gini Coefficient and Goodness of Fit
In machine learning, Classification Accuracy and AUC-ROC are two very important metrics used for the evaluation of Binary Classifier Models.
Credit Risk Scorecard | Automating Credit Decisions
Artificial Intelligence by way of Credit Risk Scorecards is automating the credit decision process and enabling Credit Officers to take faster decisions.
Classification Accuracy & AUC ROC Curve
In machine learning, Classification Accuracy and AUC-ROC are two very important metrics used for the evaluation of Binary Classifier Models.
Credit Analysis | Automated Bank Statement Analysis
Automated Bank Statement Analysis is leading to faster Credit Analysis of the Loan Applicants and reduced turnaround time in loan disbursals.
Multiple Logistic Regression using Python and R
Multiple Logistic Regression is when the dependent variable is dichotomous (having two levels only) and there is more than one independent variable.