Claudio G. Giancaterino
I'm an actuary moving towards a freelance data science job.
I was a trainee in several SDS & SwissText conference editions.
I was a speaker in several Insurance Data Science Conference editions and meetups (Zurich & Munich).
I was an assistant professor for Insurance Statistics at the Catholic University of Milan.
I started my data science journey with kaggle and hackathons.
Towards Innovation Lab
Homepage –Sessions
Scikit-LLM is an innovative Python library, seamlessly integrates Large Language Models into the Scikit-Learn framework. Scikit-LLM becomes a powerful tool for natural language processing (NLP) tasks within the Scikit-Learn pipeline, and I'll showcase a data augmentation action to build features using zero-shot text classification and text vectorization.
In the ever-evolving landscape of data science, accurate uncertainty quantification is crucial for decision-making processes. Conformal Prediction (CP) stands out as a powerful framework for addressing this challenge by providing reliable uncertainty estimates alongside predictions. In this talk, I'll delve into the world of Conformal Prediction, with a focus on the MAPIE Python library, offering a comprehensive understanding of its advantages and practical applications.