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Fraud Classification

Date: 2024-01-01

Investigated machine-learning approaches for large-scale fraud classification using a high-dimensional dataset with more than one million records.

Project 2 visuals 2024
Fraud Classification
Fraud Classification Project overview
Fraud Classification

Big Data Classification: An Exploration in ML Models

The database used in this notebook utilized a big data classification database consisting of 400+ features and 1M+ records. The complete version of the classification ML project hyper tuned by the data pipeline and does not exist in this version due to project regulation.

The notebook featured on Kaggle