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Maria Stoelben's Projects

air-quality-streamlit icon air-quality-streamlit

The Air Quality Index from the EPA was analyzed in a Streamlit application that runs in a Docker container.

care-agenda-optimisation icon care-agenda-optimisation

This project is about optimizing a home care agenda by minimizing commute time, number of short downtimes (less than 30 minutes) and carbon emissions.

enschallenge2023 icon enschallenge2023

The challenge proposed by Owkin is about predicting PIK3CA mutation in breast cancer from whole slide images.

methane-emission-project icon methane-emission-project

Based on infrared satellite images, the existence of a methane plume should be predicted. Transfer Learning for PyTorch Classification CNNs was combined in an ensemble approach with traditional methods on tabular data.

ml2challenge icon ml2challenge

The goal is to predict the forest cover type from cartographic variables only. The actual forest cover type for a given observation (30 x 30 meter cell) was determined from US Forest Service (USFS) Region 2 Resource Information System (RIS) data.

project-fairness-interpretability icon project-fairness-interpretability

The aim of the project is to apply different global, local and performance interpretability methods as well as model fairness evaluations to a dataset with protected attributes.

pythonfords_project icon pythonfords_project

The aim is to predict the bicycle traffic for 30 different bike counters in Paris. The target variable is the number of bikes passing by for every hour.

reshaping-business-with-ai icon reshaping-business-with-ai

This is an MVP for churn prediction of a global construction and renovation products distributor using transaction data of the last two years. Based on the last 60 days of transactions (and add. long term historical information) the model predicts the likelihood of a client to churn in the next 60 days.

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