Prefers MacOS Has used a transformer Prefers tensorflow to pytorch Studied/studies data science Uses Python Did/Does not study data science Has used a transformer Uses Python Knows Bayes theorem off the top of their head Prefers MacOS Has been to a data science conference Speaks >4 natural languages Uses Spyder Has used reinforcement learning Did/Does not study data science Prefers ggplot to matplotlib Prefers matplotlib to ggplot Uses Jupyter Prefers ggplot to matplotlib Studied/studies data science Uses R- Studio Prefers Linux Prefers pytorch to tensorflow Uses PyCharm Prefers pytorch to tensorflow Prefers tensorflow to pytorch Uses R Uses >4 programming languages Prefers Windows Prefers matplotlib to ggplot Has never used git Knows Bayes theorem off the top of their head Uses PyCharm Prefers Linux Still uses python 2 Has been to a data science conference Uses >4 programming languages Speaks >4 natural languages Uses Jupyter Uses R Has used reinforcement learning Uses R- Studio Has never used git Prefers Windows Has used a convolutional NN Uses Spyder Has used a convolutional NN Still uses python 2 Prefers MacOS Has used a transformer Prefers tensorflow to pytorch Studied/studies data science Uses Python Did/Does not study data science Has used a transformer Uses Python Knows Bayes theorem off the top of their head Prefers MacOS Has been to a data science conference Speaks >4 natural languages Uses Spyder Has used reinforcement learning Did/Does not study data science Prefers ggplot to matplotlib Prefers matplotlib to ggplot Uses Jupyter Prefers ggplot to matplotlib Studied/studies data science Uses R- Studio Prefers Linux Prefers pytorch to tensorflow Uses PyCharm Prefers pytorch to tensorflow Prefers tensorflow to pytorch Uses R Uses >4 programming languages Prefers Windows Prefers matplotlib to ggplot Has never used git Knows Bayes theorem off the top of their head Uses PyCharm Prefers Linux Still uses python 2 Has been to a data science conference Uses >4 programming languages Speaks >4 natural languages Uses Jupyter Uses R Has used reinforcement learning Uses R- Studio Has never used git Prefers Windows Has used a convolutional NN Uses Spyder Has used a convolutional NN Still uses python 2
(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.
Prefers MacOS
Has used a transformer
Prefers tensorflow to pytorch
Studied/studies data science
Uses Python
Did/Does not study data science
Has used a transformer
Uses Python
Knows Bayes theorem off the top of their head
Prefers MacOS
Has been to a data science conference
Speaks >4 natural languages
Uses Spyder
Has used reinforcement learning
Did/Does not study data science
Prefers ggplot to matplotlib
Prefers matplotlib to ggplot
Uses Jupyter
Prefers ggplot to matplotlib
Studied/studies data science
Uses R-Studio
Prefers Linux
Prefers pytorch to tensorflow
Uses PyCharm
Prefers pytorch to tensorflow
Prefers tensorflow to pytorch
Uses R
Uses >4 programming languages
Prefers Windows
Prefers matplotlib to ggplot
Has never used git
Knows Bayes theorem off the top of their head
Uses PyCharm
Prefers Linux
Still uses python 2
Has been to a data science conference
Uses >4 programming languages
Speaks >4 natural languages
Uses Jupyter
Uses R
Has used reinforcement learning
Uses R-Studio
Has never used git
Prefers Windows
Has used a convolutional NN
Uses Spyder
Has used a convolutional NN
Still uses python 2