ml-engineer-pro video for you work for a global footwear retailer and need to predict when an item will go out of stock based on historical inventory data.
You work for a global footwear retailer and need to predict when an item will go out of stock based on historical inventory data. Customer behavior is highly dynamic, as footwear demand is influenced by various factors. Your goal is to train models on all available data but assess their performance on specific data subsets before deploying them to production. What is the most efficient and dependable way to carry out this validation process?