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