Survival Analysis v/s Churn Prediction

Check out these resources:
📌 Survival Analysis University Lecture: people.umass.e...
📌 Survival Analysis- Free Book: www.uop.edu.pk/...
📌 Tools- Python: scikit-surviva...
📌 Tools- R: cran.r-project...
📌 Churn Prediction Blog: mode.com/blog/...
📌 Churn Prediction- Python: neptune.ai/blo...
📌 Commercial use-case Churn Prediciton: www.analyticsv...
📌 Blog: towardsdatasci...
📌 Hands-on guide: www.thepythonc...

[@jasdeepsinghgrover2470]

Great Video! Just a small suggestion after dealing with the exact same problem during my internship... survival analysis assumes that the event under consideration is bound to occur. Thus it models the hazard function using constant (exponential survival curve) or as weibul distribution. Normal machine learning does not assume that. Also look into Scikit survival, an equivalent to sklearn for survival.

[@Spiritual-Journey]

Thank you ma'am, for clearing out differences in application. Really liked the way you explained it with simple words. Can you also help with the key factors involved for survival analysis and what proportion each factor would affect result

[@niklesha2265]

Thanks for the explanation aishwarya

[@girishsawant7182]

Thanks for this video

[@mr.randomindian]

❤

[@svensalvatore8702]

OMG I used to crush on this girl on linkedin