A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Docker is a widely used developer tool that first simplifies the assembly of an application stack (docker build), then allows for the rapid distribution of the resulting executabl ...
Coursiv sponsors Python Software Foundation, supporting the open-source language powering 80% of AI tools used by ...
Plotly Cloud adds team collaboration for publishing and sharing Dash apps, with enterprise security, centralized access ...
The ActiveState catalog grew to 40 million components in mid 2025 when it introduced coverage for Java and R in addition to Python, Perl, Ruby, and Tcl. As of January 2026, the company has expanded ...
This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...
Abstract: Ensuring the quality of software systems is essential for effective and efficient usage in complex software development procedures. A vital component of the whole procedure is the early ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Learn how to create a Python simulation of a tipping stick! In this video, we guide you step by step through coding a physics-based simulation that models tipping motion, friction, and torque. Perfect ...
Python still holds the top ranking in the monthly Tiobe index of programming language popularity, leading by more than 10 percentage points over second-place C. But Python’s popularity actually has ...
IT stocks globally have been under pressure for months, due to fears of AI affecting future business growth. The latest crash in prices comes on the back of Anthropic rolling out new legal tools for ...
Abstract: With Python's ascension as a dominant program-ming language, particularly in the fields of artificial intelligence and data science, the need for comprehensive datasets focusing on software ...