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