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