Survival Analysis Main
This project page keeps the Survival Analysis work as a separate project under the project directory.
Overview
The project studies telco customer churn with survival analysis methods. It is based on the Databricks Survival Analysis solution accelerator copied into the coursework workspace:
1 | F:\AssignmentsPre\LLMsoftware\project2\survival-analysis-main |
Main Contents
| Module | Topic |
|---|---|
01_intro.py |
Dataset and environment setup |
02_kaplan_meier.py |
Kaplan-Meier survival analysis |
03_cox_proportional_hazards.py |
Cox proportional hazards model |
04_accelerated_failure_time.py |
Accelerated failure time model |
05_customer_lifetime_value.py |
Customer lifetime value dashboard |
06_conclusion_and_references.py |
Conclusion and references |
Existing Blog Report
The original write-up is still available here: