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