Methods for doing customer analytics in R
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Updated
Apr 3, 2020 - R
Methods for doing customer analytics in R
Using ML to solve business questions such as customer metrics, journey, growth and segmentation.
unit economics & cohort analysis projects
Using supervised machine learning techniques to find university level factors affecting graduation and retention rates in US Colleges
Using cohort analysis to measure customer retention.
This project have objective to examine what happens when the first gate in the game was moved from level 30 to level 40. When a player installed the game, he or she was randomly assigned to either gate30 or gate40.
An comprehensive data analysis of a particular market and its customers.
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