Website During the course Applied Data Analysis (CS-401) at EPFL, we had to work on a data analysis project on one of the proposed datasets. With my team (Baptiste Lecoeur, Enzo Palmisano, Jamil Maj & Mariella Daghfal) we chose to work on the CMU Movie Summary Corpus dataset. ...
Github Backend Github Frontend occupancy.flep.ch Introduction As a master’s student in Data Science at EPFL, Lausanne, I often found myself in a common predicament faced by many of my peers: the search for a quiet, unoccupied room for studying or group discussions. This task, seemingly simple, was surprisingly challenging due to the lack of accessible and comprehensive information about room availability on campus. ...
Analyzing EPFL Restaurant Menus from Data Scraping to Network Visualization using Python and D3.js, while performing Exploratory Data Analysis (EDA) and Automation with GitHub Actions.
I recently had to run a scraping script on a schedule in order to retrieve news articles from daily RSS Feeds (see more). I decided to use GitHub Actions to do so. This post is a quick tutorial on how to do it. ...
GitHub Live Demo Have you ever wondered about the intricate connections within EPFL’s associations? How do associations interconnect? How many accreditations does individuals have? ...
GitHub Kaggle Dataset Medium Live Demo Inspired by and curious about Google News articles grouping by event I challenged myself into replicating its state of the art. ...
GitHub Repository Report Introduction In the Spring Semester of 2023 we embarked, with Romain Birling, on a mini-project as part of the Artificial Neural Networks/Reinforcement Learning course at EPFL. Our focus was on Deep Q-learning for Epidemic Mitigation, aiming to study the impact of different policies on epidemic control. ...
GitHub Repository Introduction In the Large-Scale Data Science for Real-World Data course at EPFL, our team embarked on a project to build a reliable public transport route planner. The SBB Journey Planner aims to offer robust journey planning options, considering the probability of on-time arrivals and departures. ...
GitHub Repository Report Introduction As data scientists and researchers, we are constantly seeking ways to push the boundaries of accuracy and efficiency in various domains. In the field of medical image processing, the accuracy of age prediction based on anatomical features can have significant implications for diagnosing and understanding age-related conditions. In this project, we embarked on a journey to optimize biological age prediction from brain anatomical volume measurements. Our goal was to determine whether splitting patients into subgroups and developing prediction models for each subgroup could improve the accuracy of age prediction compared to a global prediction model. ...
GitHub Repository Report Introduction The project, conducted with Manon Dorster and Alexandre Maillard, aimed to apply machine learning techniques to CERN particle accelerator data to identify Higgs boson events among multiple proton collisions. This project was part of the Machine Learning course (CS-433) at EPFL. ...