I had a dataset of students, i want to predict the grade of the students for given attributes. I can load data into neo4j.
But how can I train the data using a regression model on neo4j?
You can use the python driver to extract your data from Neo4j, and use your preferred ML library. Here's an example from our developer guides: Link Prediction with GDSL and scikit-learn - Developer Guides
Hi, it is difficult to understand, can you suggest to me another article which from scratch.
I am a beginner to neo4j. I had good knowledge on ML
Hi,
Here is an article on using extensions in Neo4j to perform multilinear regression. Hope this helps!
I agree with Dr. Frame here. I think you would get better results by implementing the official Neo4j python driver to extract your results and use an ML library like scikit-learn.
Best of luck!
@prashanthpro.pro if you're struggling with the developers guide, perhaps you could try the Python notebook that's linked: GitHub - neo4j-examples/link-prediction: This repository contains both Jupyter notebooks for solving a link prediction problem using Neo4jās Graph Data Science Library and scikit-learn.
Another example you can follow is Using GraphSAGE embeddings for downstream classification model | by Tomaz Bratanic | Towards Data Science