Iyar LinBetter churn prediction — part 3Even for the “who” question — using survival analysisMay 27May 27
Iyar LininTowards Data ScienceA better way to analyze feature release impactOr — why naive “before-after” comparisons can drive bad product decisionsMay 23, 20232May 23, 20232
Iyar LininTowards Data ScienceBetter Churn Prediction — Using Survival AnalysisAnswering the “when” questionOct 31, 20221Oct 31, 20221
Iyar LinDALL-E: the end of human creativity?Usually I post about how I instruct machines to translate my ideas into scientific discovery. This time around I’d like to discuss…Jul 13, 2022Jul 13, 2022
Iyar LininTowards Data ScienceBetter churn predictionTo churn or not churn — what is the real question?Jun 8, 20222Jun 8, 20222
Iyar LininGeek CultureSometimes more data can hurtDon’t believe it? neither did I!May 23, 2021May 23, 2021
Iyar LininTowards Data Sciencedata.table speed with dplyr syntax: Yes we can!Why choose between speed and readability when you can have both?Apr 13, 20211Apr 13, 20211
Iyar Lindowhy library exploration — Just be-causeOriginally published at https://iyarlin.github.io on April 20, 2020.Apr 20, 2020Apr 20, 2020
