Using Global fishing watch’s data to build a machine learning model that can identify illegal fishing and poaching activities through satellite and geo-location data. Global fishing watch is a partnership between Google and Oceana to map all trackable fishing activity in world, in almost real time. This is a personal project using the data provided by global fishing watch. The data provided has vessel ids, types and coordinates of encountered vessels. Given same vessel type and are, a fishing vessel […]

PHOTONAI is a high level python API for designing and optimizing machine learning pipelines. We’ve created a system in which you can easily select and combine both pre-processing and learning algorithms fromstate-of-the-art machine learning toolboxes,and arrange them in simple or parallel pipeline data streams. In addition, you can parametrize your training and testingworkflow choosing cross-validation schemes, performance metrics and hyperparameteroptimization metrics from a list of pre-registered options. Importantly, you can integrate custom solutions into your data processing pipeline,but also for […]