Medical Insurance Premium Prediction using Stochastic Variational Inference and by using probalistic programming langauge Pyro.
The purposes of this Project to look into different features to observe their relationship, and used a Bayesian learning approach on several features of individual such as age, physical/family condition and location against their existing medical expense to be used for predicting future medical expenses of individuals that help medical insurance to make decision on charging the premium.
By using Stochastic Variational Inference,HMC and Gaussian Process.