It aims to evaluate clinicopathological and radiologic factors for the prognosis of lung squamous cell carcinoma. This project was made by 3 students of the Autumn 2019 cohort, Khwansiri NINPAN, Princy PAPPACHAN & Lisa KOPPE.
Automatic co-registration of satellite images focuses on one of the first pre-processing steps of the images analysis process: ensuring datasets quality and coherence. This project was made by Lisa KOPPE, an Autumn 2019 cohort from the Applied MSc in Data Science & AI programme.
Discover a python project to build a price prediction model of a diamond in 2 parts: from physical criteria and images. This project was made by Jean MILPIED, an Autumn 2019 cohort from the Applied MSc in Data Science & AI programme.
“DSTI’s course and syllabus are continuously evolving according to the needs of the industry and the school makes sure that its students receive the best of the knowledge in the field of analytics that makes them highly employable”