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 ...
CU Boulder News & Events

Exploring the Use of Vulnerability-Based Analyses with Classification and Regression Trees in Reclamation's Mid-Term Operational Projections

The Bureau of Reclamation (Reclamation) projects 2 – 5-year Colorado River Basin (CRB) system conditions for stakeholders using their Colorado River Mid – Term Modeling System (CRMMS). As inputs, this ...
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

Shipe, M.E., Deppen, S.A., Farjah, F. and Grogan, E.L. (2019) Developing Prediction Models for Clinical Use Using Logistic Regression: An Overview. Journal of Thoracic Disease ...

ABSTRACT: Bipolar disorder is a multifaceted psychiatric illness characterized by unpredictable mood episodes and highly variable treatment responses across individuals. Predicting response to ...