How-To Geek on MSN

Your Excel regression is probably a mess—here's how Python fixes it

Uncover the hidden pitfalls of Excel regression and learn why Python is the key to unlocking clean, efficient data analysis.
British Educational Research Association

The predictive value of standardised test scores for future attainment: The impact of achievement level

In many countries, school evaluations take into account the average progress their students make on standardised tests relative to their peers. This is sometimes expressed as the value-added ...
JournalofAccountancy

Use Excel to automate financial statement analysis

Q. I often perform horizontal, vertical, and trend analysis for clients. Each time revised financial statements arrive, I find myself recreating formulas, rechecking ranges, and confirming that ...
The New York Times

Trump Says He Dislikes Prediction Markets. His Family Invests in Them.

The White House has warned staff not to wager on government decisions, but his family’s involvement with these firms undermines the president’s message. By Ben Protess Ben Protess covers the Trump ...
Frontiers

A support vector regression-based prediction model for offshore broadcasting signal propagation

Broadcasting plays an important role in offshore information transmission because of its stability and long-distance propagation characteristics. To improve propagation prediction in the offshore ...
ahajournals.org

Development and Validation of a Machine Learning Model to Predict Oral Anticoagulant Use in Stroke From Prothrombin Time–International Normalized Ratio and Activated Partial ...

Timely recognition of oral anticoagulant use is critical in acute stroke but is often hampered by impaired consciousness and unavailable medication history. We investigated whether routinely available ...
IEEE

A Novel Deep Learning Technique to Model and Predict the Spread of Cybersecurity Threats

Abstract: Malware, ransomware, and botnet attacks are examples of cyberthreats that are constantly evolving and spreading throughout digital infrastructures, resulting in serious operational and ...
Medical News Today

AI model may identify high-risk patients for post-transplant complications

Share on Pinterest An AI tool may be able to predict GVHD risk, prompting earlier treatment to prevent complications. Image credit: Victor Bordera/Stocksy An AI-based tool may be able to predict the ...
The Lancet

When to and when not to use machine learning in risk prediction models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...
Frontiers

A CT-based deep learning model to predict local recurrence-free survival in primary retroperitoneal sarcoma

Survival prediction using radiomics and deep learning (DL) has shown promise, but its utility for predicting local recurrence among patients with primary retroperitoneal sarcoma (RPS) remains ...
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...