Using Machine learning to Predict Heart Failure
The Challenge of Heart Failure Heart failure is a serious medical condition in which the heart is unable to pump enough blood to meet the body’s needs. As a leading…
Strengths and Challenges of Using Healthcare Databases — A Data Scientist’s Perspective
When I first began working with healthcare data at the NHS Northern Care Alliance, I didn’t quite grasp the emotional weight behind the spreadsheets. I saw tables filled with coded…
The Critical Role of Data Analysts in Navigating the UK Energy Price Surge and Enhancing Efficiency
Many of us have observed the rise in the UK energy price cap which has caused concerns for homes and businesses. With energy costs on the rise there’s a growing…
End-to-End Breast Cancer Subtype Classification: Integrating RNA-Seq, WGCNA, and Machine Learning
Introduction Breast cancer remains a leading cause of cancer-related mortality worldwide, with molecular subtype classification playing a critical role in treatment selection and patient outcomes. Traditional histopathological approaches, while valuable,…
How I Built a Review Analysis Pipeline for JD Wetherspoon Pubs using Python and NLP
Overview of the Project In the digital age, customer reviews are gold mines of information, offering unfiltered insights into consumer experiences and perceptions. For businesses like JD Wetherspoon, a popular…
Building an Automated Text Classifier for Nairaland.com: A Step-by-Step Guide
INTRODUCTION In the digital age, online forums have emerged as vibrant hubs of conversation, ideas, and community engagement. Nairaland.com, Africa’s largest online forum, stands as a testament to this, hosting…
Learning to Think Like a Machine: A Kid-Friendly Guide to Machine Learning Algorithms
“Machine learning – ever heard of it? It’s an incredibly exciting field where computers can learn and make decisions autonomously, without any explicit programming. It’s akin to having a magic…
Beyond the Numbers: How Machine Learning Differs from Theoretical Statistics
Machine learning has revolutionized the way we interact with data, enabling us to extract valuable insights from massive datasets that were previously considered too complex to analyze. Despite its impressive…