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. 📺📊
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Updated
Feb 23, 2026 - Jupyter Notebook
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. 📺📊
This repository contains experiments on data wrangling techniques, focusing on methods for handling missing values, filtering, aggregation, and more.
Análisis de recursos de revisión en la Ciudad de México mediante limpieza de datos, categorización semántica y visualización interactiva para detectar patrones temáticos, resoluciones atípicas y cambios temporales por dependencia.
The data processing steps and the visualizations can be found in https://vast-challenge.netlify.app/ this link
Create a corpus for fine-tuning an OpenAI model
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