k-MeansHas askedChatGPT adata sciencequestionhascompleted ahardLeetCodequestionPowerBIWorksonAWSETLpipelineDimensionlikesSQLPreferstensorflowto pytorchT-shirtsizedoesn'tuse aVPNhas usedGitHubCopilotDataMiningClassificationInsightsPeerReviewPrefersggplot tomatplotlibQlikViewRegressionDataWarehouseUnsupervisedLearningKubernetesKafkahasn'tevercodedbeforeUses >4programminglanguagesdoesn'tuse GitBayes’TheoremScrumusesVisualStudioCodePrefersLinuxThreeLaws ofRoboticsUses astandingdeskPySparkusesGitCleanDatauses RStudioFeatureEngineeringRequirementsUsesJupyterDataVaultSnowflakehas usedGoogleColabthat hasbuilt anAndroidapphascreated apullrequestOverfittingis a PythonprogrammerYaxisGANSVMDataGovernancethatusesFirebaseusesJavaRandomForesthascompletedahackathonReLUXAIAzureAlignmentConstraintk-MeansHas askedChatGPT adata sciencequestionhascompleted ahardLeetCodequestionPowerBIWorksonAWSETLpipelineDimensionlikesSQLPreferstensorflowto pytorchT-shirtsizedoesn'tuse aVPNhas usedGitHubCopilotDataMiningClassificationInsightsPeerReviewPrefersggplot tomatplotlibQlikViewRegressionDataWarehouseUnsupervisedLearningKubernetesKafkahasn'tevercodedbeforeUses >4programminglanguagesdoesn'tuse GitBayes’TheoremScrumusesVisualStudioCodePrefersLinuxThreeLaws ofRoboticsUses astandingdeskPySparkusesGitCleanDatauses RStudioFeatureEngineeringRequirementsUsesJupyterDataVaultSnowflakehas usedGoogleColabthat hasbuilt anAndroidapphascreated apullrequestOverfittingis a PythonprogrammerYaxisGANSVMDataGovernancethatusesFirebaseusesJavaRandomForesthascompletedahackathonReLUXAIAzureAlignmentConstraint

True Data Experts: - Call List

(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.


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  1. k-Means
  2. Has asked ChatGPT a data science question
  3. has completed a hard LeetCode question
  4. Power BI
  5. Works on AWS
  6. ETL pipeline
  7. Dimension
  8. likes SQL
  9. Prefers tensorflow to pytorch
  10. T-shirt size
  11. doesn't use a VPN
  12. has used GitHub Copilot
  13. Data Mining
  14. Classification
  15. Insights
  16. Peer Review
  17. Prefers ggplot to matplotlib
  18. QlikView
  19. Regression
  20. Data Warehouse
  21. Unsupervised Learning
  22. Kubernetes
  23. Kafka
  24. hasn't ever coded before
  25. Uses >4 programming languages
  26. doesn't use Git
  27. Bayes’ Theorem
  28. Scrum
  29. uses Visual Studio Code
  30. Prefers Linux
  31. Three Laws of Robotics
  32. Uses a standing desk
  33. PySpark
  34. uses Git
  35. Clean Data
  36. uses R Studio
  37. Feature Engineering
  38. Requirements
  39. Uses Jupyter
  40. Data Vault
  41. Snowflake
  42. has used Google Colab
  43. that has built an Android app
  44. has created a pull request
  45. Overfitting
  46. is a Python programmer
  47. Y axis
  48. GAN
  49. SVM
  50. Data Governance
  51. that uses Firebase
  52. uses Java
  53. Random Forest
  54. has completed a hackathon
  55. ReLU
  56. XAI
  57. Azure
  58. Alignment
  59. Constraint