maronga/Carrefour-Kenya-Marketing-Strategies

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) # Carrefour-Kenya-Marketing-Strategies 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) # R Programming Project: Unsupervised Machine Learning. # Carrefour_Marketing_Strategies_in_R #### {WEEK 14 DATA SCIENCE CORE INDEPENDENT PROJECT}, {April, 2022} #### By **{John Maronga}** ## Description * Research Question * What are the most relevant marketing strategies that will result in the highest no. of sales(total price including tax). * Context * 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) ## Experimental Design 1. Problem Definition 2. Data Sourcing 3. Check the Data 4. Perform Data Cleaning 5. Unsupervised learning: * Dimensionality Reduction, * Feature Selection, * Association Rules * Anomaly Detection 6. Conclusion ## Dataset Info * The dataset for this project can be found here: in the each subfolder ## Setup/Installation Requirements * R programming * Environments : Jupyter lab / Google colab environment / R Studio * Github ## Known Bugs {There are no known bugs in this project. } ## Technologies Used R Programming ## Support and contact details {Any issues, questions, ideas, concerns or contributions to the code are highly encouraged. Contacts : johnmaronga@gmail.com } ### License *{MIT License. See below for more details on licensing.}* Copyright (c) {2022} **{Moringa School Data Science Core}**