Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Jupyter is a way of creating interactive notebooks that blend text, graphics, and code. This is a unique form of programming. It's taken the scientific programming world by storm. It's so easy to run ...

A team of mathematicians has recently taken steps to improve our ability to predict future data. It’s not exactly fortunetelling, but forecasting is a huge industry and service that much of our ...

Introduction Mothers’ experiences at birth and respectful maternal care are critical to achieving Sustainable Development Goal number 3 in Tanzania. However, little is known about the differences in ...

Explore the statsmodels library, a tool that allows data analysts to perform linear regression with familiar R syntax and get detailed results. The power of statsmodels in statistical analysis Python ...

Laura Modi’s company, Bobbie, is rooted in science and uses organic ingredients. Some of her fans aren’t happy that she’s willing to work with the Trump administration. Laura Modi.Credit...Brian ...

From the first 5 rows of the dataset, we can see that there are several columns available: species, island, bill_length_mm, bill_depth_mm, flipper_length_mm, body_mass_g, and sex. There also appears ...

Dividends have the highest correlation with stock prices for Coke and PepsiCo, explaining over 90% of price changes in the last 15 years. PepsiCo's stock is undervalued by 9% compared to its predicted ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...