A project where unsupervised learning techniques are implemented so as to boost the sales for Carrefour Kenya
# CARREFOUR KENYA CUSTOMER ANALYSIS
# Introduction
This is a project where unsupervised learning techniques will be imp[lemented on sets of data provided by Carrefoyr Kenya so as to help improve the company's sales.
Techniques to be implemented includes :
- Dimensional reduction
- Feature Selection
- Association rules
- Anomaly detection
# Names of Contributors
- Ryan Mburu
# Date of completion
03/11/2021
# Motivation
The project was a requirement by Moringa School, as a weekly Independent Project in the 14th week of core in Data Science.
Another motivation is to practice unsupervised learning in R.
# Technologies used
- R Studio
- Colab
- Git
- Microsoft Excel
# Languages used
- R
# Setup
The project is to be downloaded with the data sets, for easier retrival of information. Use of an editer that supports R Studio is required.
# Contact Details
Incase of any problems when accessing the project, or any questions, feel free to contact me via my email - mbururyan31@gmail.com
# License
MIT License
Copyright (c) 2021 Ryan Mburu
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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