Data science roles in the industry

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles ...

Python libraries used in top AI and ML tools hacked

Security researchers from Palo Alto Networks have discovered vulnerabilities used in some top Artificial Intelligence (AI) ...
IEEE

A Comparative Regression Analysis of House Price Prediction using Machine Learning Models

Abstract: The ability to accurately predict the house price is fundamental within the real estate sector as it provides useful information to potential buyers, sellers, investors, and policymakers.
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
GitHub

This notebook outlines the process of training and evaluating a regression model, focusing on linking data features to predicted variables, and adjusting parameters for ...

The purpose is to comprehend the links between qualities, specifically any association between features and predicted labels. This includes detecting and fixing data problems (e.g. missing values, ...
IEEE

Machine Learning Approaches for Underwater Object Classification using Sonar Data

Abstract: The need for analyzing a sonar dataset using machine learning algorithms arises from critical applications such as naval operations, marine exploration, and environmental monitoring.