AI Testing Learning Project

AI/ML testing learning project for Test Development Engineers.

Overview

This project demonstrates AI testing methodologies through a CTR prediction model.

Learning Objectives

• AI Testing Theory: Robustness, Adversarial Samples, Data Drift
• Model Evaluation: AUC, F1-score, Confusion Matrix
• Data Quality: Data Cleaning, Distribution Analysis, Anomaly Detection

Quick Start

pip install -r requirements.txt
jupyter lab