This piece demonstrates the manual calculations involved and also the R Code behind Market Basket Analysis with a simple example.

This is a buildup on Riko Kelter's paper titled "bayesanova: An R package for Bayesian Inference in the Analysis of Variance via Markov Chain Monte Carlo in Gaussian Mixture Models". I have added some more explanation to help the beginners. This is mostly to help research scholars and students.

This coding session was done for a Carpentries Workshop with Helmholtz Institute (HIDA)

This is a test for checking out how R Markdown works

This was part of the carpentries course conducted by me as an Instructor for Helmholtz Institute (HIDA) on November 30th and December 1st, 2023

I am not sure which method is used in the background but this gives an accurate answer in terms of allocations and the optimal cost.

Basics of R

Basics of R Section C

This web page will guide you through the initial steps of working with R Software

This demonstrates both Hierarchical Clustering and K Means Clustering using the R Software

Easier to copy the code

ISLR data set from R is used for this exercise

Decision Tree Example

This post uses UC Irvine Bank Marketing Dataset (Moro,S., Rita,P., and Cortez,P.. (2012). Bank Marketing. UCI Machine Learning Repository. https://doi.org/10.24432/C5K306.)

This code produces multiple model outputs in one table

Practice session for the TRON workshop participants.

Code for the 7 quality tools

This document will show outlier detection using 'car' package and 'influenceplot' function

This is to show the usage of the readxl function

Multiple Regression using the 'mtcars' dataset

This is a solved problem from Statistics for Business and Economics by Anderson and Sweeny.

Bibliometric Analysis

Analysis

This is a trial.

This is a test analysis

Some basic Statistics

This analysis is done on fictitious data for demonstration purposes

This will be demonstrated through an Udemy Course on HR Analytics

This is a Logistic Regression Project

This is an illustration to create a dataset by simulation. The data created is for a store. Both online and instore purchases are made at the store.

Illustration for maximizing revenue by appropriate combination of full fare seats and discounted seats.

This is about plotting histograms for different distributions like Normal, Uniform and Exponential

This is about plotting histograms for different distributions

This is a plot between price and purity (Carat)

Coursera Course on Data Products

Leaflet assignment from the Coursera class on Developing data products using R

Leaflet Assignment