Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

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, ...

Artificial intelligence (AI) has become part of the daily lexicon, and an endless stream of media reports assert that AI either has affected or will affect most aspects of human life. What is AI and ...

For specific machine learning tasks (such as classification, regression, or clustering), the team preprocesses classical data into quantum state inputs, mapping feature vectors into a quantum ...

As data volumes surge across every industry and machine learning ... a range of algorithms and hyperparameter combinations to identify the best-performing model for a given dataset. It supports a ...

Master data science in 2025. Complete guide to machine learning, big data analytics, Python programming, statistical modeling ...

🌦️ Logistic Regression vs Random Forest – Rain Prediction Classifier This project demonstrates how to build and evaluate two popular classification models — Logistic Regression and Random Forest ...