Implementing machine learning (ML) models in real-world applications is a significant step from theoretical data science models to practical solutions. This transition requires a thorough evaluation to ensure that the models perform well under production conditions. For data science practitioners in Chennai, enrolling in a data science course can be immensely beneficial for mastering these evaluation techniques. Here’s a step-by-step guide to assessing ML models in production environments. Understanding Model Deployment Before diving into model evaluation,…