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

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

🔍 Automatically identifying and analyzing events from social media platforms (Twitter, Facebook, etc.) 🌎 Covering diverse event types from natural disasters to viral phenomena 🤖 Leveraging AI to ...

Abstract: In many data domains, such as engineering and medical diagnostics, the inherent uncertainty within datasets is a critical factor that must be addressed during decision-making processes. To ...

When it comes to data science, you have excellent tools at your disposal: pandas and polars for data exploration, skrub for stateful transformations, and scikit-learn for model training and evaluation ...

Overview: Matplotlib mistakes often come from poor layout, unclear labels, and wrong scale choices, not from the data itself.Clear plotting improves when scatte ...

The lesser-known Python libraries, such as Rich, Typer, and Polars, solve practical problems like speed, clarity, and workflow without added complexity. The libraries support modern Python use cases, ...