Citrination training resources
This knowledge base has documentation for File Ingesters and FAQs for datasets, data views, machine learning, and search. The information here is most pertinent to users of https://citrination.com.
learn-citrination GitHub repo
This GitHub repo has a wide variety of content, featuring a mix of readable guides and interactive Jupyter notebooks in Python that demonstrate the Citrination API.
Web UI tutorials contain screenshot walkthroughs and example data to guide users through citrination.com.
API tutorials contain Jupyter notebooks and example data to teach users about the Python Citrination Client (PyCC). This allows you to access Citrination through its API.
PyCC has online documentation with example usage and module documentation.
If you would like to learn more about Citrine's sequential learning (SL) framework, check out our main website and read our publication.
You may also be interested in the following YouTube video from Julia Ling on Machine Learning for Materials Discovery.