Make thisdatanormalpleaseAsk analyticsfor a metricand get agoogle sheetwith >10 tabsViolatingstatisticalassumptionspipenvissueStakeholderasks if wecan end atest earlyLinear/logisticregressionperformedbestDramawithFestival ofBooksSRMKerneldied andneeds torestartEarly statsig liftdisappearsSHAPvaluesmakesenseGlenncomes backas Presidentand COOSimpson’sparadoxspotted inthe wildWeatherstoriestake overRFYgitdisasterSudden uptickinsubscriptions-guess why?Bug in testedfeaturediscoveredafter testlaunchOutlier(s)in yourdataCustomercomplainsabout StoryFinderErrorloading apackagetest cells showconflictingresults (winson one metric,loses on other)Accidentallyduplicaterows in ajoinModeloverfitsthe dataModel accuracyis suspiciouslyhigh - turns outit’s justpredicting themajority classMake thisdatanormalpleaseAsk analyticsfor a metricand get agoogle sheetwith >10 tabsViolatingstatisticalassumptionspipenvissueStakeholderasks if wecan end atest earlyLinear/logisticregressionperformedbestDramawithFestival ofBooksSRMKerneldied andneeds torestartEarly statsig liftdisappearsSHAPvaluesmakesenseGlenncomes backas Presidentand COOSimpson’sparadoxspotted inthe wildWeatherstoriestake overRFYgitdisasterSudden uptickinsubscriptions-guess why?Bug in testedfeaturediscoveredafter testlaunchOutlier(s)in yourdataCustomercomplainsabout StoryFinderErrorloading apackagetest cells showconflictingresults (winson one metric,loses on other)Accidentallyduplicaterows in ajoinModeloverfitsthe dataModel accuracyis suspiciouslyhigh - turns outit’s justpredicting themajority class

Untitled Bingo - 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. Make this data normal please
  2. Ask analytics for a metric and get a google sheet with >10 tabs
  3. Violating statistical assumptions
  4. pipenv issue
  5. Stakeholder asks if we can end a test early
  6. Linear/logistic regression performed best
  7. Drama with Festival of Books
  8. SRM
  9. Kernel died and needs to restart
  10. Early stat sig lift disappears
  11. SHAP values make sense
  12. Glenn comes back as President and COO
  13. Simpson’s paradox spotted in the wild
  14. Weather stories take over RFY
  15. git disaster
  16. Sudden uptick in subscriptions- guess why?
  17. Bug in tested feature discovered after test launch
  18. Outlier(s) in your data
  19. Customer complains about Story Finder
  20. Error loading a package
  21. test cells show conflicting results (wins on one metric, loses on other)
  22. Accidentally duplicate rows in a join
  23. Model overfits the data
  24. Model accuracy is suspiciously high - turns out it’s just predicting the majority class