pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into ...

Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

This article presents a detailed analysis of an undergraduate physics laboratory experiment designed to determine the density of water using fundamental measurement techniques and data analysis ...

Astral's uv utility simplifies and speeds up working with Python virtual environments. But it has some other superpowers, too: it lets you run Python packages and programs without having to formally ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

Abstract: Oscillation is becoming one of the most critical issue in a power system with large-scale renewable integration. Frequency-coupled admittance model (FCAM) is widely used in the analysis of ...

Abstract: Scanning Electron Microscopy (SEM) images often suffer from noise contamination, which degrades image quality and affects further analysis. This research presents a complete approach to ...

The study investigates the competency assessment outcome of AI-driven training, student engagement, and demographic factors. Previous studies have examined these factors individually, but this ...

Speech-Emotion-Recognition-in-Tensorflow-Using-CNNs Speech-Emotion-Recognition-in-Tensorflow-Using-CNNs Public Speech Emotion Recognition (SER) in Tensorflow using CNNs and CRNNs Based on Mel ...