4 Engineering Student Projects Using Machine-Learning - ESILV Graduate School of Engineering, Paris

Here are four projects led by 5th-year engineering students majoring in Computer Science, Big Data and Connected Objects and Financial Engineering which resorted to Machine Learning. "Weather Learning" is a project which aims at developing a tool allowing to predict the weather report, anywhere in France. It is based on modern methods of Machine learning and Deep learning. This project does not use physico-chemical modellings but the history of the weather data. After identifying meteorological sources from which data from more than 10 years ago could be extracted, students developed algorithms allowing to extract the meteorological data. MongoDB was chosen as a database for its capacity to manage geographical coordinates.