GitHub

Emotion Classification on Twitter Dataset

Preprocessing of text data (tokenization, normalization, etc.). Multi-class emotion classification using Logistic Regression and SVM. Detailed evaluation using classification metrics and ...
Frontiers

Course evaluation modeling using multi-level regression: a case study for a Master of Business Administration

Understanding and modelling course evaluation scores in higher education programs is crucial for enhancing and improving student experience and program outputs. This study investigates the influence ...
IEEE

Multi-Class Classification of BMI Categories with Logistic Regression, SVM, Random Forest, and XGBoost

Abstract: Body Mass Index is a main indicator for assessing weight related health risks and classifying individuals listed as underweight, normal, overweight or obese. Accurate prediction of BMI ...
Stars and Stripes

Army opens new Fort Benning class to help leaders use drones, robots in combat

FORT BENNING, Ga. — An instructor moved a tiny drone upside down then rapidly back and forth by hand as Army Sgt. 1st Class William Benz peered through his goggles to see what the drone could see. “It ...
Winona Post

Why multi-age classes didn't return at WAPS

Last school year, Winona Area Public Schools (WAPS) leaders combined students from two consecutive grades in multi-age classes, something that the district had not done for several years. This year, ...
Hosted on MSN

Python neural network for multiclass classification using softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
GitHub

Multi-class Image Classification for Unbalanced Fashion Data

This project investigates the impact of class imbalance on multi-class classification using an MLP classifier trained on a modified subset of the FashionMNIST dataset. The goal was to evaluate ...