Predicting Airline Delays at Scale with Spark ML

A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...
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 ...
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 ...
Scientific Research Publishing

Costanza, R. (2008). Ecosystem Services: Multiple Classification Systems Are Needed. Biological Conservation, 141, 350-352.

ABSTRACT: The quantification and evaluation of ecosystem services represent key drivers for the sustainable development of human activities, particularly within the framework of natural capital ...