rbta-svg
Double Degree student at Politecnico di Milano/Université de Rennes 1 in Data Science with a specialisation in Artificial Intelligence and Data Mining
Politecnico di Milano / Université of Rennes 1Milano
Pinned Repositories
api_prova_finale
ed/edX editor, final project for the 'Algorithms and Principles of Computer Science' course. Developed in pure C, with the use of only the standard library. The project was tested to meet certain space and time complexity requirements.
boss-machine-api
An Express.js API to manage your minions (clients), developed using Express.js
coffeetracker
jammming
Your friendly neighbourhood Spotify playlist creator web app. Developed using React.
plantvillage_an2dl
A deep convolutional neural network to classify healthy and sick plant leaf species. The final peak accuracy was of around 91.2% on the test set. For full details, please refer to the project report inside the repository.
rbta-svg
recommender_systems_project
A recommender system project, to predict TV shows starting from a URM and ICM matrix dataset. The project passed all the annointed professor baselines.
rbta-svg's Repositories
rbta-svg/rbta-svg
rbta-svg/recommender_systems_project
A recommender system project, to predict TV shows starting from a URM and ICM matrix dataset. The project passed all the annointed professor baselines.
rbta-svg/api_prova_finale
ed/edX editor, final project for the 'Algorithms and Principles of Computer Science' course. Developed in pure C, with the use of only the standard library. The project was tested to meet certain space and time complexity requirements.
rbta-svg/boss-machine-api
An Express.js API to manage your minions (clients), developed using Express.js
rbta-svg/coffeetracker
rbta-svg/jammming
Your friendly neighbourhood Spotify playlist creator web app. Developed using React.
rbta-svg/multivariate-ts-pred
The goal of the project is to perform predictions on multivariate time series, involving the use of LSTMs and Recurrent Neural Networks. The results were satisfactory, with a final RMSE of 3.96 on the test set.
rbta-svg/plantvillage_an2dl
A deep convolutional neural network to classify healthy and sick plant leaf species. The final peak accuracy was of around 91.2% on the test set. For full details, please refer to the project report inside the repository.
rbta-svg/Ravenous
A web app similar to Yelp, to help you find the perfect restaurant, developed with React.
rbta-svg/softeng-project-bachelor
This is my Bachelor's thesis project: an implementation of a board game using Java, complete with a GUI and a CLI. It involves several design pattern (with MVC at the center), functional programming and was developed in a team of 3, guided by DevOps tools such as CircleCI.