[Day 207] Finished with neo4j (for now) and thinking about fraud detection models

 Hello :)
Today is Day 207!


A quick summary of today:
  • setting up neo4j
  • reading some papers on bank telemarketing classification


Firstly, about the Kukmin Bank (KB) AI competition project

We set up  the database on my partner's laptop

  • insert CreditCard nodes
  • insert Merchant nodes
  • insert Transaction edge
We also had a look at the final EDA notebook.
At the moment the repo looks like:

As for next steps, we will start developing models, and try to get something that can identify Fraud transactions well. And more importantly, explainability - what features help the model determine that a transaction is fraud. So we will start with some basic models like logistic reg, decision trees, random forest, then add hyperparam tuning, over/undersampling, etc. And try to get a model that detects Fraud well. 

As I want to try out a GNN for this project's model. I saw there is a GNNExplainer by torch-geometric, so I need to try using it in practice and see if the explainability it provides is good enough for our project. 

Secondly, reading papers on bank telemarketing classification

I put 5 papers that use Portuguese Bank telemarketing data and approach it from different perspectives. Tomorrow I will present it to a professor that is advising this paper idea by one of my lab mates. 


That is all for today!

See you tomorrow :)

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