Uses PyCharm Uses R- Studio Knows Bayes theorem off the top of their head Uses >4 programming languages Uses Python Prefers tensorflow to pytorch Did/Does not study data science Studied/studies data science Speaks >4 natural languages Uses >4 programming languages Studied/studies data science Uses Python Prefers Windows Prefers MacOS Prefers pytorch to tensorflow Uses R Uses Spyder Uses Jupyter Uses R- Studio Has used a convolutional NN Has never used git Prefers matplotlib to ggplot Has used a transformer Has used reinforcement learning Speaks >4 natural languages Prefers Windows Prefers matplotlib to ggplot Prefers pytorch to tensorflow Knows Bayes theorem off the top of their head Still uses python 2 Prefers ggplot to matplotlib Has never used git Prefers MacOS Uses PyCharm Has been to a data science conference Has used a convolutional NN Uses Jupyter Uses R Prefers tensorflow to pytorch Still uses python 2 Did/Does not study data science Prefers Linux Prefers Linux Has been to a data science conference Prefers ggplot to matplotlib Has used reinforcement learning Uses Spyder Has used a transformer Uses PyCharm Uses R- Studio Knows Bayes theorem off the top of their head Uses >4 programming languages Uses Python Prefers tensorflow to pytorch Did/Does not study data science Studied/studies data science Speaks >4 natural languages Uses >4 programming languages Studied/studies data science Uses Python Prefers Windows Prefers MacOS Prefers pytorch to tensorflow Uses R Uses Spyder Uses Jupyter Uses R- Studio Has used a convolutional NN Has never used git Prefers matplotlib to ggplot Has used a transformer Has used reinforcement learning Speaks >4 natural languages Prefers Windows Prefers matplotlib to ggplot Prefers pytorch to tensorflow Knows Bayes theorem off the top of their head Still uses python 2 Prefers ggplot to matplotlib Has never used git Prefers MacOS Uses PyCharm Has been to a data science conference Has used a convolutional NN Uses Jupyter Uses R Prefers tensorflow to pytorch Still uses python 2 Did/Does not study data science Prefers Linux Prefers Linux Has been to a data science conference Prefers ggplot to matplotlib Has used reinforcement learning Uses Spyder Has used a transformer
(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.
Uses PyCharm
Uses R-Studio
Knows Bayes theorem off the top of their head
Uses >4 programming languages
Uses Python
Prefers tensorflow to pytorch
Did/Does not study data science
Studied/studies data science
Speaks >4 natural languages
Uses >4 programming languages
Studied/studies data science
Uses Python
Prefers Windows
Prefers MacOS
Prefers pytorch to tensorflow
Uses R
Uses Spyder
Uses Jupyter
Uses R-Studio
Has used a convolutional NN
Has never used git
Prefers matplotlib to ggplot
Has used a transformer
Has used reinforcement learning
Speaks >4 natural languages
Prefers Windows
Prefers matplotlib to ggplot
Prefers pytorch to tensorflow
Knows Bayes theorem off the top of their head
Still uses python 2
Prefers ggplot to matplotlib
Has never used git
Prefers MacOS
Uses PyCharm
Has been to a data science conference
Has used a convolutional NN
Uses Jupyter
Uses R
Prefers tensorflow to pytorch
Still uses python 2
Did/Does not study data science
Prefers Linux
Prefers Linux
Has been to a data science conference
Prefers ggplot to matplotlib
Has used reinforcement learning
Uses Spyder
Has used a transformer