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