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 ...
IEEE

Early Diabetes Risk Assessment using an Integrated Machine Learning Model based on Random Forest and Logistic Regression

Abstract: Timely intervention occurs as a result of determining diabetes at the earliest opportunity. Thus, helping to minimize longer-term complications associated with diabetes. This study compared ...
IEEE

Machine Learning-Based Classification of Crisis-Related Tweets: A Comparative Study Using Logistic Regression, Random Forest, and BERT

Abstract: Social media has become a crucial communication medium during disasters, producing large volumes of user-generated content that, if properly filtered, can provide responders with timely and ...