4 documents found
Practical Exercise on Multiple Linear Regression: Predict Air Quality in Castilla and León
In the field of data science, the ability to build robust predictive models is fundamental. However, a model is not just a set of algorithms; it is a tool that must be understood, validated, and ultimately useful for decision-making.
Thanks to the transparency and accessibility of open data, we…
- Data exercises
Unity Catalog: Empowering Collaboration in the Data and AI Ecosystem through Open Source
Data sharing has become a critical pillar for the advancement of analytics and knowledge exchange, both in the private and public sectors. Organizations of all sizes and industries—companies, public administrations, research institutions, developer communities, and individuals—find strong value…
- Data exercises
Learn to Generate Reports with LangGraph and AI
In the current landscape of data analysis and artificial intelligence, the automatic generation of comprehensive and coherent reports represents a significant challenge. While traditional tools allow for data visualization or generating isolated statistics, there is a need for systems that can…
- Data exercises
From theory to practice: creating a RAG-based conversational agent.
Introduction
In previous content, we have explored in depth the exciting world of Large Language Models (LLM) and, in particular, the Retrieval Augmented Generation (RAG) techniques that are revolutionising the way we interact with conversational agents. This exercise marks a milestone in our…
- Data exercises
