In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest model to predict if a customer is going to churn and deployed a model using the flask web app.
First person shooter survival horror full of dark corridors and screeching noises, with a few bullets, a battered armor and robotic monsters waiting in the dark.
A representation of an entity (e.g municipal, individual, agency, organization etc) consisting of contact information (e.g. name, e-mail addresses, phone numbers) and other descriptive information of interest in emergency(or disaster) management.
A representation of written set of activities and procedures that outlines(or guides) what stakeholders and others should do in emergency(or disaster) event.
Proactive methodological disclosure of a high resolution precision calibrated estimate of the Gompertz-Makeham Law of Mortality and general utilization hazard rates through lifespan interferometry against annual census data consolidated from the administrative data of all publicly funded healthcare provided in a single geopolitical jurisdiction.