58 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
Chatting with Public Data: A Practical Application of Artificial Intelligence
Open data portals are an invaluable source of public information. However, extracting meaningful insights from this data can be challenging for users without advanced technical knowledge.
In this practical exercise, we will explore the development of a web application that democratizes access to…
- Data exercises
Word Embeddings - Practical Exercise on Tag Processing
Open data portals play a fundamental role in accessing and reusing public information. A key aspect in these environments is the tagging of datasets, which facilitates their organization and retrieval.
Word embeddings represent a transformative technology in the field of natural language…
- Data exercises
A practical introductory guide to exploratory data analysis in Python
The following presents a new guide to Exploratory Data Analysis (EDA) implemented in Python, which evolves and complements the version published in R in 2021. This update responds to the needs of an increasingly diverse community in the field of data science.
Exploratory Data Analysis (EDA)…
- Guides
Tourism in Spain: Analyzing National Tourist Flows Using Interactive Visualizations
1. Introduction
Visualizations are graphical representations of data that allow for the simple and effective communication of information linked to them. The possibilities for visualization are very broad, from basic representations such as line graphs, bar charts or relevant metrics, to…
- Data exercises
Municipal Innovation through Open Data: Solutions to make municipal services more accessible
The digital revolution is transforming municipal services, driven by the increasing adoption of artificial intelligence (AI) technologies that also benefit from open data. These developments have the potential to redefine the way municipalities deliver services to their citizens, providing tools to…
- Reports and studies
How to Create an Expert Assistant with Open Data: Building GPT to Answer the Critical Minerals Challenge
1. Introduction
In the information age, artificial intelligence has proven to be an invaluable tool for a variety of applications. One of the most incredible manifestations of this technology is GPT (Generative Pre-trained Transformer), developed by OpenAI. GPT is a natural language model…
- Data exercises
Road to electrification: Deciphering electric vehicle growth in Spain through data analytics
1. Introduction
Visualisations are graphical representations of data that allow to communicate, in a simple and effective way, the information linked to the data. The visualisation possibilities are very wide ranging, from basic representations such as line graphs, bar charts or relevant metrics,…
- Data exercises
