A collection of projects where data meets real-world questions. Each case study can cover the problem, the methodology, the results and the lessons learned.
A project in which we've built a Streamlit app to analyze different data from the Spanish Electrical Grid API and predict the energy demand using different Neural Networs models
Read case study →A fun way to learn and practice OOP. Here, I created a tamagotchi game running in Streamlit. You can interact with it in several ways.
Check out the project →A Streamlit web app to vizualize scrapped data from second-hand cars considering many of their characteristics. The app includes a price prediction tool that uses a validated ML model.
Read case study →An ETL (Extract-Transform-Load) project in which we scraped the Billboard 100 webpage and retrived data using Spotipy to explore the current music trends.
Read case study →Using Natural Language Processong (NLP) to process data to create and validate an algorithm capable of identifying spam.
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