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Hi there 👋

These are the projects I have been working on lately:

Web Scraping with Github Actions

  1. I am scraping every film shown in Spanish public tv, namely TDT. I get data about the date, time, channel and some variables on the film shown (title, director, length, country, etc): repository.
  2. Here I scrape the sport programs shown in Spanish public sports channel, Teledeporte. Eventually I would like to explore how different sports are distributed in the channel: repository.
  3. In this repository I scrape a local cinema: repository.
  4. I scrape Spanish football data (only first division): repository.

Models in R with tidymodels

Classification

  1. Very basic logistic regression applied to Kaggle titanic competition: repository.
  2. Random forest applied to Kaggle titanic competition: repository.
  3. XGBoost applied to Kaggle titanic competition with some parameter tuning: repository.

SQL

  1. I created a personal music database to learn something about the design of it and to have some personal data to practice with for online SQL courses: repository.

Guillermo Díaz's Projects

automatic-web-scraping-of-a-local-cinema icon automatic-web-scraping-of-a-local-cinema

Using GitHub Actions to automate the web scraping of a Burgos cinema website. I want to create a database and later analyse the range and quality of movies shown in my town's cinema.

databases icon databases

A bunch of databases I scrape or create or whatever.

kaggle-competitions icon kaggle-competitions

These repository will contain every Kaggle competition I join, both in R and Python.

nyc-taxi-data icon nyc-taxi-data

Import public NYC taxi and for-hire vehicle (Uber, Lyft) trip data into a PostgreSQL or ClickHouse database

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