kenmuriuki/kenya-customer-web-project

Kenya-Customer-Web-Data-Insights

This repository contains two projects one on supervised learning and the other on unsupervised learning with R

Title

Drawing customer insights using Supervised and Unsupervised Learning in R

Author

Kennedy Muriuki Chomba

Project Description

Customer insights using supervised learning with R. This project aims to predict who is most likely to click on an online advertisement on a kenyan website. The project contains a comprehensive Exploratory Data Analysis on the variables, identifying the characteristics of the individuals who clicked on the ad and using these characteristics to predict who is most likely to click on the ads. This project has applied four supervised learning algorithms i.e Decision tree, Random Forests, Naive Bayes and Support Vector Machines.

Contact Information

For any contribution or further discussion, kindly reach me through the following email address: [email protected]