FUTURE SKILLS BY EMERITUS News: Python, with its flexibility, ease of learning, and a large developer community, has transformed the field of data analysis. In this article, we will ...

A project analyzing car insurance claim data to optimize premiums and marketing strategies. Using statistical modeling, A/B testing, and machine learning, it identifies low-risk customers and assesses ...

Python – it’s the new Excel for derivatives valuation adjustments (XVAs). Or so say banks who are increasingly turning towards the coding language and away from others, such as C++, to better analyse ...

Credit risk analysis provides lenders with a complete profile of the customer and an insight that enables them to understand customer ... To calculate Credit Risk using Python we need to import data ...

Introduction to Python for Data Analysis¶. Recall that R is a statistical programming language—a language designed to do things like t-tests, regression, and so on.The core of R was developed during ...

Data analysis may start to focus more on modelling the process than the data itself, speakers suggested last week at the Canadian Insurance Financial Forum ().Although modelling began decades ago ...

The addition of these Python-powered data analysis features to OpenAI’s o1 and o3-mini models in ChatGPT represents a significant enhancement in the models’ capabilities, ...

However, Python’s methods for parallelizing operations often require data to be serialized and deserialized between threads or nodes, while Julia’s parallelization is more refined.