The latest round of media company earnings reports confirmed once again that linear TV — cable in particular — is eroding quickly, with its decline in stark contrast with the growing streaming ...

What if the tool you’ve been waiting for could not only catch errors in your Python code instantly but also handle millions of lines with lightning speed? Enter Pyrefly, Meta’s latest innovation in ...

Objective: This study aims to construct a diagnostic model for diabetic kidney disease (DKD) with concurrent vascular calcification (VC) using bioinformatics combined with machine learning approaches ...

Abstract: Linear discriminant analysis (LDA) faces challenges in practical applications due to the small sample size (SSS) problem and high computational costs. Various solutions have been proposed to ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...

The first quarter of 2025 was a mixed bag for Hollywood earnings. The latest round, which covered January to March, saw substantial drops for both domestic box office and linear television, continuing ...

Implement Linear Regression in Python from Scratch ! In this video, we will implement linear regression in python from scratch. We will not use any build in models, but we will understand the code ...

In this video, we will implement Multiple Linear Regression in Python from Scratch on a Real World House Price dataset. We will not use built-in model, but we will make our own model. This can be a ...