Improving Machine Learning with Graph Algorithm

In this repository I try to implement few graph algorithms to improve the performance of a ML model.

I used the Game of Thrones dataset to make the model. The Machine Learning model is made up of a simple Random Forest.

Flow

ML model with RandomForestClassifier -> Get Accuracy -> Implement Graph Algorithms -> Testing Previous ML model to check for better accuracy.

Graph Algorithms

• Page Rank
• Closeness Centrality

Libraries used

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• sklearn
• neo4j
• pandas
• nxneo4j
• networkx

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Neo4j is only used to see graph visualization of the dataset

Graph algorithms are not implemented using any Neo4j library~