Data Science Bingo!

Data Science Bingo! Bingo Card
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This bingo card has a free space and 46 words: Uses R, Uses MATLAB, Found out that your dataset has duplicate rows after analysis, Tried to explain why correlation ≠ causation, Has a ChatGPT Pro subscription, Thinks most AI-generated images look slightly off, Prefers MacOS, Thinks XGBoost is still king, Has been to a data science conference, Speaks >4 natural languages, Spends more time wrangling data than building models, Had to explain p-values to a non-technical audience, Tried to explain overfitting to your manager/client, Uses >4 programming languages, Prefers Tableau to PowerBI, Presented a model/dash-board, only to be asked for an Excel export, Uses Visual Studio Code, Has never used git, Someone asked you to “just add AI” to a project, Still uses python 2, Uses ChatGPT (or Gemini/ Claude) 3+ times per week, Uses Python, Uses Jupyter, Had a model work perfectly…only in training, Prefers pytorch to tensorflow, Prefers Gemini to ChatGPT, Tuned hyper-parameters for hours with no improvement, Knows Bayes theorem off the top of their head, Studied/ studies data science, Built a dashboard that no one ever used, Thought a project would take a week…it took three months, Believes feature engineering is more important than model selection, Wrote an entire function, only to discover there’s a library that does it better, Has used reinforcement learning, Has vibe coded something, Has manually cleaned a CSV in Excel, Has transitioned into data from another field, Has copied code from Stack Overflow, Has Googled their own error message word-for-word, Has hard-coded something “just for the demo”, Has been asked “is this AI?”, Prefers shipping something simple over building something clever, Has been the only data person on a team, Has worked remotely full-time, Has trained a model on a GPU and Has broken production.

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