This repository includes tutorial notebooks that combine querying Knowledge Graphs using SPARQL and applying statistical analysis and machine learning modeling using R and Python as programming languages.
In these tutorials, we demonstrate:
- accessing and querying the knowledge graphs
- visualizing descriptive statistics
- regression methods
- classification methods
- time series analysis
The intended audience is data science students as well as the Semantic Web community and Statisticians to discover how they can benefit from each other's work.