This repository contains experiments on data wrangling techniques, focusing on methods for handling missing values, filtering, aggregation, and more.
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Updated
Jan 15, 2026 - Jupyter Notebook
This repository contains experiments on data wrangling techniques, focusing on methods for handling missing values, filtering, aggregation, and more.
Create a corpus for fine-tuning an OpenAI model
This project focused on analyzing a dataset of movies and TV shows from Netflix, with the main objective of text-based clustering to group similar content together. 馃摵馃搳
An谩lisis de recursos de revisi贸n en la Ciudad de M茅xico mediante limpieza de datos, categorizaci贸n sem谩ntica y visualizaci贸n interactiva para detectar patrones tem谩ticos, resoluciones at铆picas y cambios temporales por dependencia.
The data processing steps and the visualizations can be found in https://vast-challenge.netlify.app/ this link
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