R

Projects completed using the R programming Language

Stock returns simulation and Financial Risk Analysis in R

This project was initially completed as part of a school assignment in Risk Analysis at Dalarna University. I collaborated with a colleague, Zarif Mahmud. The project involves conducting risk vs returns analysis on stocks of six US companies, and additional Monte Carlo simulations to simulate future prices, as well as a portfolio choice based on […]

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Predicting wine types using Machine Learning in R: A comparison of algorithms

In this project, we delve into the world of wine classification using machine learning algorithms. We explore the wine quality dataset, aiming to predict the type of wine (red or white) based on several key factors. Through a comparative analysis of three popular machine learning algorithms, we uncover the strengths and weaknesses of each approach,

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Which employees are most frequently absent from work? Clustering the employee absenteeism dataset in R.

In today’s fast-paced work environments, organizations face numerous challenges, and one persistent issue that can hinder productivity and disrupt operations is absenteeism. High rates of absenteeism can lead to reduced efficiency, increased costs, and decreased employee morale. Understanding the underlying patterns and factors contributing to absenteeism is crucial for organizations to proactively address this issue.

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