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, ...

It is commonly known among Data Scientists that data cleaning and preprocessing make up a major part of a data science project. And, you will probably agree with me that it is not the most exciting ...

Mobile apps now offer practical ways to learn data science, from coding and statistics to machine learning, anytime and anywhere.Tools like QPyth ...

In an effort to equip aspiring technologists and researchers with cutting-edge skills, Jamia Millia Islamia (JMI) has ...

The technique is based on convolutional neural network (CNN), and does not need to extract data features in advance. We design two CNNs for the classification and regression tasks separately. Both ...

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

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 ...

Learn how to implement Logistic Regression from scratch in Python with this simple, easy-to-follow guide! Perfect for beginners, this tutorial covers every step of the process and helps you ...

Data distribution serves as crucial information for designing an optimal classification or regression model. Thus, we propose a data-distribution-aware FRS model that considers distribution ...

phy is an open-source Python library providing a graphical user interface for visualization and manual curation of large-scale electrophysiological data. It is optimized for high-density ...