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.
The data processing steps and the visualizations can be found in https://vast-challenge.netlify.app/ this link
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.
Create a corpus for fine-tuning an OpenAI model
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