Entry G4: Modeling Relationships
Relationships are the lines that connect nodes. Neo4j usually describes nodes as nouns (a person, place, or thing - i.e. the subject) and relationships as ve...
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Entry G3: Choosing a Graph Model (schema)
To harness the power of graph, data first has to be organized to fit the node/relationship format.
Entry G2: Create a Neo4j Database
To begin any data science project, I need a data to play with. For the graph project I’m going to start with the Marvel Universe Social Network available on ...
Entry G1: Connected Entities
The last post was the 52nd entry, meaning that I averaged one entry a week for an entire year. Now, just a little under a year into my chronicling journey, I...
Entry 52: Ensemble Methods: Bagging, Boosting, Stacking
There are multiple ways to reduce the bias and variance of Ensemble Learning, the three most common are bagging, boosting, and stacking. For more on bias and...