01DaisyLynn/Carrefour-Kenya

# Carrefour-Kenya # Description # You are a Data analyst at Carrefour Kenya and are currently undertaking a project that will inform the marketing department on the most relevant marketing strategies that will result in the highest no. of sales (total price including tax). Your project has been divided into four parts where you'll explore a recent marketing dataset by performing various unsupervised learning techniques and later providing recommendations based on your insights. # Main Objective # perform various unsupervised learning techniques (i.e Dimensionality reduction, feature selection, association analysis and anomaly detection) and provide recommendations based on your insights # Setup # Import Dataset Import neccessary libraries Review and clean the dataset Create models Make conclusions # Libraries Used # Library(caret) Library(dplyr) Library(ggplot2) Library(tidyr) Library(tidyverse) library(Rtsne) - tsne library(superml) - label encoding library(clustvarsel) - feature selection library(mclust) - feature selection library(arules) - association library(anomalize) # Tools Used # Rstudio CSV file Dimensionality reduction and feature selection - bit.ly Association analysis - bit.ly Anomaly detection - bit.ly # License # MIT License was used - anyone intrested in using the above notebook and its files is hereby granted access Copyright (C)