Flourish Skin: Technical Report

Ogunyoye, Florence (2022) Flourish Skin: Technical Report. Undergraduate thesis, Dublin, National College of Ireland.

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Abstract

Numerous people have various skin issues, and some companies have taken advantage of this reality by promising to offer a cure while charging exorbitant prices for their goods. The objective of this research is to identify the variables that have impacted the costs of the goods that businesses are selling.

This paper describes the knowledge acquisition strategy used by the KDD technique. It describes the steps taken to obtain and prepare the data for analysis. I employed a variety of machine learning approaches for this project, which helped with the outcomes. Among other tools, I have used decision trees, random forests, and logistic regression. Using Python, this analysis was carried out. The datasets that were provided to me were scraped from websites like Cult Beauty and Look Fantastic as well as Kaggle.

The analysis's findings highlight the influencing elements that have an impact on a product's pricing. The study demonstrated how a product's value point is mostly decided by its brand.

Item Type:	Thesis (Undergraduate)
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > QA Mathematics > Computer software T Technology > T Technology (General) > Information Technology > Computer software
Divisions:	School of Computing > Bachelor of Science (Honours) in Computing
Depositing User:	Clara Chan
Date Deposited:	21 Sep 2022 13:29
Last Modified:	21 Sep 2022 13:29
URI:	https://norma.ncirl.ie/id/eprint/5781

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