Budoen, A.T., Zhang, M.W. and Edwards Jr., L.Z. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, ...

The workflow includes data cleaning, feature selection, model training ... Technical Goal: To compare the performance of different classification algorithms (GLM, SVM, Random Forest, KNN) in Python.

This project demonstrates a complete Natural Language Processing (NLP) workflow using Python and NLTK for ... for supervised learning. ->Model Implementation: Logistic Regression Naive Bayes Support ...

Learn how to classify sleep stages using EEG data with Python, MNE, and Scikit-learn in this step-by-step guide. House GOP fails to pass tax and spending bill after key committee vote Game of ...

Our lab develops novel computational methods to study cellular biological systems from a global and data-driven perspective. We seek to exploit diverse, high-throughput functional and genomic data to ...

The model aims to enhance the classification by incorporating an SVM algorithm at the last layers of a deep neural network. This framework basically consists of three major steps: data preprocessing, ...