This tool is more than just an academic model, it is a ready-to-deploy decision support system that integrates backend predictive analytics with frontend usability. By offering real-time insights, it ...

Using various machine learning models (Logistic Regression, Gaussian Naïve Bayes, KNN, Gradient Boosting Classifier, Decision Tree Classifier, Random Forest Classifier.) to predict whether a company ...

GitHub is where people build software. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects.

Abstract: The main purpose of this research work is to conduct a comparative study of application of machine learning algorithms in the development of a student retention model for undergraduate ...

Unfortunately, conventional linear FIR models do not account for nonlinear dependencies and are prone to high variance for long process delays. On the other hand, Gradient Boosting Regression Tree ...