Built CNN model with transfer learning to classify whether images contain either a dog or a cat. Data from kaggle
Implement cost-aware A/B Testing using multiple reinforcement learning techniques(greedy/near-greedy, gradient method) in order to understand the effectiveness of each treatment option without incurring too much costs. Problem statement, simulation setup, strategy implementation and results summary are included.