The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior using deep learning methods and ensuring interpretability of decisions. A four ...
Abstract: With the rapid development of open-source communities, code reuse in Python projects is increasingly common. Developers heavily rely on third-party libraries from the Python central ...
SAN DIEGO (KGTV) — A pet python that was believed to be stolen has returned to the Ocean Beach library. According to a librarian, a regular at the library spotted the snake on a windowsill near the ...
In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...
Full-stack Machine Learning Startup Success Predictor with 50K+ company dataset, bias-free methodology, XGBoost ensemble, Logistic Regression, SVM w/ RBF kernel, and SHAP interpretability. Built w/ ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
ABSTRACT: Photovoltaic solar energy is a vital resource in addressing global environmental and climate change challenges, with particular significance in Jordan. However, the weather, which varies ...
What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...
Google Colab is a really handy tool for anyone working with machine learning and data stuff. It’s free, it runs in the cloud, and it lets you use Python without a lot of fuss. Whether you’re just ...
This project analyzes a dataset of Netflix Movies and TV Shows using Python. It explores trends such as content type, release years, country-wise distributions, and more using pandas, matplotlib, ...
This hands-on tutorial will walk you through the entire process of working with CSV/Excel files and conducting exploratory data analysis (EDA) in Python. We’ll use a realistic e-commerce sales dataset ...
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