### Bayesian Regression Modeling via MCMC Techniques – Statistics.Com

Let you learn to apply Markov Chain Monte Carlo techniques (MCMC) to Bayesian statistical modeling using WinBUGS and R software.

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Let you learn to apply Markov Chain Monte Carlo techniques (MCMC) to Bayesian statistical modeling using WinBUGS and R software.

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 The motivation behind This article comes from the combination of passion(about stock markets) and love for algorithms. Who doesn’t love to make money …

Overview GANs are generative models, they create what you feed them. We have listed down 4 prominent GAN Libraries Introduction Currently, GAN is …

Overview Understand what is Categorical Data Encoding Learn different encoding techniques and when to use them Introduction The performance of a machine learning …

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