ML Fraud Detection
Machine-learning model for detecting fraudulent transactions
Machine-learning model for financial fraud detection on large-scale transaction data, built on the IBM Z platform, start to finish in 24 hours. 2nd place in London: £250, IBM LinuxONE server access, a 3-month mentorship, and an invitation to speak at a GSE UK conference.
Why it matters
A real, judged result on a real dataset: 97.68% accuracy under a deadline, against a strong field.
Built with Python, Scikit-learn, TensorFlow, IBM Z.
all work