Let you learn to apply Markov Chain Monte Carlo techniques (MCMC) to Bayesian statistical modeling using WinBUGS and R software.
Search results for "Bayesian Modeling"
Let you learn programming for Bayesian analysis within R
Learn to perform Bayesian analysis for a binomial proportion, a normal mean, the difference between normal means, the difference between proportions, and for a simple linear regression model.
Learn to define three stage hierarchical models and to implement them using Winbugs, in multilevel, meta-analytic and regression applications
Let you learn to use BUGS software, use it to estimate parameters of standard distributions, and implement simple regression models.
Introduction If you think deep, you’d realize the whole process of predictive modeling is a war. Ruthless war. Don’t you believe me? Consider the …
This programme is intended for enabling practitioners, managers, and decision-makers to use advanced analytics for better decision-making and in-depth understanding of these concepts using hands-on technique(s) and relating to business cases.
Introduction Most Kaggle-like machine learning hackathons miss a core aspect of a machine learning workflow – preparing an offline evaluation environment while building an …
Overview The path to democratizing machine learning has been blazed by experts and researchers determined to make the world a better place We celebrate …
Hands-On Introduction to creditR: An Amazing R Package to Enhance Credit Risk Scoring and Validation
Presenting an intuitive and easy-to-use R package to enhance credit risk scoring and validation! THis article contains comprehensive R code as well.