Under the influence of global warming, the Arctic is transitioning from a state dominated by multi-year thick ice to a "New ...

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Standard linear regression predicts a single numeric value ...

Abstract: Shuffled linear regression (SLR) seeks to estimate latent features through a linear transformation, complicated by unknown permutations in the measurement dimensions. This problem extends ...

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 ...

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, ...

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 ...

Since this part of the course focuses on simple linear regression, you want to check for any linear relationships among variables in the dataframe. You can do this by creating scatterplots using any ...

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 ...