This project focuses on using the AWS open-source AutoML library, AutoGluon, to predict bike sharing demand using the Kaggle Bike Sharing demand dataset.

This project aims to develop a robust classification model using test-takers' demographics and questionnaire responses from the ASD screening dataset to accurately identify individuals with Autistic Spectrum Disorder (ASD) through optimization of performance metrics.

Working through the book R for Data Science by Hadley Wickham and Garrett Grolemund

This project is focused on the characteristics of white wine quality. Mainly the wite wine quality dataset is explored and analysed.

some training, learning and TD/TP ressources

This project aims to predict (and prevent) customer churn in the telecom industry with our advanced analytics and machine Learning.

This repository addresses the complex task of multi-class prediction for cirrhosis outcomes, a chronic liver condition characterized by tissue damage. Focused on forecasting diverse outcomes such as severity levels and disease stages, the model holds significance in enhancing personalized healthcare for cirrhosis patients.