In this guest blog, 10DS data science fellows Federico and Robin, talk about working with the Campus to create packages that import, process and visualise DfT’s journey time statistics data.
Read more on Guest blog: Enhancing open-access data analysis: introducing the Journey Time Statistics R and Python packages
We used machine learning to develop a model to identify areas of trees from satellite images in eastern Uganda, where the Mbale Trees Programme has been running since 2010.
Read more on Using Sentinel-2 images to measure the change in tree coverage in eastern Uganda: what does it mean for the Mbale Trees Programme?
Part of our mission at the Data Science Campus (DSC) is to build data science capability across the public sector. In this project, which grew out of our Data Science Accelerator programme, we worked with the Royal Air Force (RAF) to help upskill their staff in the Python programming language and natural language processing (NLP) methods.
Read more on Technical Report: Project Mertz—novel use of historical RAF flight safety recordsThis course is delivered through the Jupyter notebook application.
Read more on Intermediate Python ProgrammingThis course introduces the basics of carrying out a statistical analysis in Python.
Read more on Statistics for Data ScienceNatural Language Processing is a sub-field of Artificial Intelligence. It is used for processing and analysing large amounts of natural language.
Read more on Introduction to Natural Language Processing in PythonThis course is delivered through the Jupyter notebook application. Participants should attain a good understanding of basic data types in Python and associated methods and constructs that can be applied to them.
Read more on Introduction to Python Programming