Moringa Week 13 independent project Modelling-with-R 9/04/2021

###Description A Kenyan entrepreneur has created an online cryptography course and would want to advertise it on her blog. She currently targets audiences originating from various countries. In the past, she ran ads to advertise a related course on the same blog and collected data in the process. She would now like to employ my services as a Data Science Consultant to create a supervised learning model to identify which individuals are most likely to click on my client's ads on her blog.

The following are our metrics for success:

• Cleaned data.

• Graphical representation of the relationships in the data as well as the distributions f the different variables in the data.

• Create a model using KNN. The steps taken during this study are:

• Loading the data & needed packages.

• Exploring the dataset.

• Cleaning the data.

• Feature engineering.

• Exploratory Data Analysis.

• Conclusions.

• Recommendations.

• Implementing the Solution

• Challenging the Solution

• Unsupervised Learning

Kira Plastinina is a Russian brand that is sold through a defunct chain of retail stores in Russia, Ukraine, Kazakhstan, Belarus, China, Philippines, and Armenia. The brand’s Sales and Marketing team would like to understand their customer’s behavior from data that they have collected over the past year. More specifically, they would like to learn the characteristics of customer groups. My findings should help inform the team in formulating the marketing and sales strategies of the brand.

The following are our metrics for success:

• Problem Definition
• Loading the data & needed packages.
• Exploring the dataset.
• Cleaning the data.
• Feature engineering.
• Exploratory Data Analysis.
• Clustering(K-Means & Hierarchical)
• Challenging the solution

Use Git Clone to clone the repository.

No Known Bugs

R Studio

R Language

Git

Support and contact details [email protected]

License MIT Copyright (c) 2021 Moringa School and Snowtec