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    • PokeData

      Public
      In this project you will scrape as much data as you can get about the *actual* sightings of Pokemons. As it turns out, players all around the world started rep…
      JavaScript
      6920Updated Jan 3, 2017Jan 3, 2017
    • In this project we will apply machine learning to establish the TLN (Time, Location and Name - that is where pokemons will appear, at what date and time, and wh…
      JavaScript
      3810Updated Dec 30, 2016Dec 30, 2016
    • PokeMap-1

      Public
      The world of Pokemon GO is as big as our planet. Pokemons have been sighted on top of cliffs perched over oceans as well as in your next door coffee shop. We wo…
      JavaScript
      3540Updated Dec 10, 2016Dec 10, 2016
    • Now that we have tons of data about Pokemon (what they are, where they are, what’s their relationship, what they can transform into, which attacks they can perf…
      TypeScript
      71071Updated Nov 21, 2016Nov 21, 2016
    • PokeMap-2

      Public
      The world of Pokemon GO is as big as our planet. Pokemons have been sighted on top of cliffs perched over oceans as well as in your next door coffee shop. We wo…
      JavaScript
      7230Updated Oct 10, 2016Oct 10, 2016
    • Live sentiment analysis on pokemon in a x km radius - this can be easily implemented expanding on the work done last semester https://github.com/Rostlab/JS16_Pr…
      JavaScript
      1240Updated Sep 24, 2016Sep 24, 2016
    • general

      Public
      General project-related and inter-project related matters
      0010Updated Sep 16, 2016Sep 16, 2016