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School hosted the KAIROS 2026 Mega Pool Drive on the theme Where Action Meets Opportunity. Over 500 candidates were connected with recruiters such as FactSet, Adecco, Berger Paints, Muthoot Finance, ...

Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...

Tutorial 2: Experiment and train models by using features This tutorial series shows how features seamlessly integrate all phases of the machine learning lifecycle: prototyping, training, and ...

Abstract: Data stream learning is an emerging machine learning paradigm designed for environments where data arrive continuously and must be processed in real time. Unlike traditional batch learning, ...

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy (XAS) is an important technique for this, as it reveals detailed insights ...

With the accelerating pace of urbanization, the issue of air pollution has become increasingly severe. Notably, carbon monoxide (CO), as a prevalent harmful gas, poses potential threats to both human ...

I have set up a separate library, mlxtend, containing additional implementations of machine learning (and general "data science") algorithms. I also added implementations from this book (for example, ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...