Deep Learning and Artificial Intelligence projects made real
Since the first deconfinement, bicycle traffic has exploded in Paris. 3 of our learners have studied this issue during the Data Analyst training.
Discover City Walker, an application for the tourism of individuals. It is a project realized by our Data Analyst Bootcamp students.
Building a fun web app producing piano instrumental music using dilated convolutions or LSTM networks.
Using Deep Convolutionnal Neural Networks to identify Hiraganas and Katakanas.
The objective of this project is to try to beat the algorithms of bookmakers on the estimation of the probability of a team winning a match.
The context of the project is sport and in particular the analysis of data from Premier League matches to "tell the story" of the last decade of Arsenal Football Club's performance.
The objective of the project is the creation of an application allowing to create itineraries according to certain predefined criteria
This project is based on the "fantasy soccer" application: MonPetitGazon. It allows you to make your mercato and to choose the composition of your team before each game to face your opponent.
Confirm climate change, and predict the evolution of temperatures over the next years.
The Studio is the research and development unit developed by the DataScientest pedagogical team and carried out by the students of our training courses.
Data Scientists, Engineers and Analysts come together to implement deep learning algorithms, answering everyday problems with innovative and never-heard of solutions.
Our goal is to strive towards scientific excellence, to contribute to research applied to general cases, chosen and framed by our scientific committee. Specific and targeted, our "commando" project management method promotes the achievement of convincing results.
We specialise in deep learning and artificial intelligence, so as to join the technological revolution wave happening world wide.
Our team is performance and latter-day projects, to set the trends and break the norms of what is considered possible by computers.
You have an idea? Do you want to make it happen?
Are you looking to acquire knowledge in data science on a particular subject?
Would you like to benefit from the expertise of our scientific committee?
Tell us more about your ambition!