This project focuses on developing an interactive dashboard, UnilSports, utilizing R Shiny and various statistical methodologies to suggest personalized sports class timetables at UNIL/EPFL Sports …

A nutrition optimization application for McDonald’s meal plans using Python, user-specific data (age, weight, activity), and key libraries/tools such as pandas, NumPy, Google OR-Tools, and Tkinter,…

Predicting the number of available bikes at the bike-sharing stations in Morges for every 10 minutes on a predefined date using the data from a large Swiss bike-sharing company with a broad range o…

Applying various machine learning classification models to predict the credit quality of new loan applicants (KNN, Logistic regression, Naïve Bayes, Decision Trees, Random Forest, Neural Networks, …

By employing Extreme Value Theory, this research utilizes data from EM-DAT, World Bank, and IPCC databases to uncover insights into the impact of carbon emissions on exacerbating extreme flood even…

Utilizing machine learning and text mining, this study conducts sentiment and topic analysis on TED talk transcripts, demonstrating a high accuracy in predicting video topics and showcasing a posit…