Code Monkey home page Code Monkey logo

bayesian-data-analysis-in-r's Introduction

Bayesian-Data-Analysis-in-R

Questions we are trying to answer through bayesian mothod of dustribution:

Question 1) Build a Bayesian model that answers the question: What would the rate of sign-up be if method A was used on a larger number of people?

Question 2) What’s the probability that method A is better than telemarketing?

Question 3) If method A was used on 100 people what would be number of sign-ups?

Sources:

This is an exact replication of bayesian model as learnt from Rasmus Baath's blog and you-tube channel

For understanding Bayesian model follow the following 3 videos. It can't get easier and more cohorent for first timers. He shares examples to exercises also for our practice.

Lecture: https://www.youtube.com/watch?v=3OJEae7Qb_o&feature=emb_title Notes: http://rpubs.com/rasmusab/257829

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.