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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, ...

This project implements Multiple Linear Regression using Gradient Descent in pure Python (without external libraries like NumPy or Scikit-learn). The goal is to train a model that predicts an output ...

Understanding student academic performance is a cornerstone for developing sustainable educational practices that benefit students, teachers, policymakers, and society. This analysis directly impacts ...

We aim to identify the factors influencing student performance within the middle school education system using a combined approach of Factor Analysis for Mixed Data (FAMD) and Multiple Linear ...

Therefore, accurately predicting PCI preoperatively using a single predictor appears to be very challenging. The present study aimed to predict surgical PCI preoperatively in PMP patients by multiple ...

Want to understand logistic regression? Explore our guide to learn its applications and advantages in data analysis.

Multiple linear regression algorithms were used to validate the objective models derived from objective physical metrics and perceptual psycho-physical metrics. The sensory profile objective models ...