Machine learning is the scientific study of algorithms and statistical models to perform a specific task effectively without using explicit instructions. Machine learning algorithms include
The objective of this article is to put together the most popular puzzles asked in data science/analytics interviews. The article is helpful for candidates looking to
The objective of this article is to evaluate different techniques for time series forecasting. These techniques include OLS model, Co-integration model and ARIMAX model Business
A scorecard is a risk scoring tool used to evaluate the level of risk associated with applicants.
The demand for Credit Risk Analytics professionals across the geographies with technical expertise such as statistical modelling and domain expertise have increased exponentially over years.
We frequently come out with resources for aspirants and job seekers in data science to help them make a career in this vibrant field. Cracking
We frequently come out with resources for aspirants and job seekers in data science to help them make a career in this vibrant field. Cracking
Regression analysis is a form of predictive modelling technique which investigates the relationship between a dependent (target) and independent variable (s) (predictor). This technique is used for finding
The basic idea behind this model is that various demographic attributes and past repayment behavior of an individual can be utilized to predict hers or his probability of default.
Simulation is acting out or mimicking an actual or probable real life condition, event, or situation to find a cause of a past occurrence (such
Ensemble is a machine learning concept in which multiple models are trained using the same learning algorithm. Bagging is a way to decrease the variance
We have various types of scorecards like acquisition, behaviour, income, collection etc. The purpose of building a behaviour scorecard is to monitor the performance of
The purpose of this research is to put together the 7 most common types of classification algorithms along with the python code: Logistic Regression, Naïve
Roll rate is the percentage of customers who become increasingly delinquent on their account. Banks use roll rates to predict credit losses based on delinquency.
The primary objective of CCAR secured model is to stress test the business unit’s mortgage balances using a set of scenarios provided by the Federal
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