This site was created for STA323 Big Data Analysis Software and Application. It is hosted with GitHub Pages and deployed on a custom personal domain obtained through the GitHub Student Developer Pack.
The blog post explains the survival-analysis workflow for the Telco Customer Churn dataset, including preprocessing, Kaplan–Meier analysis, Cox proportional hazards modeling, AFT modeling, and customer lifetime value estimation.
Read the survival analysis reportNZhengye/NZhengye.github.iozhengye001.meThis website is a lightweight static site. It provides evidence that the personal domain has been connected to GitHub Pages, and it publishes the data-analysis report required by the project. The content focuses on the survival-analysis part of the project because the assignment asks for a blog that includes the Q2 Task (2) report.
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