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