In the world of Data Science, building a machine learning model is only half the battle. The real challenge lies in understanding how well the model performs and whether its predictions can be trusted in real-world scenarios. This is where evaluation metrics play a crucial role. Machine learning models don't just need to make predictions—they need to make the right predictions for the right reasons. A model with 95% accuracy may seem impressive, but if it misses patients with

If you are stepping into the world of software development, testing, or automation, you have probably heard terms like API, Postman, collections, or status codes. This blog breaks them down in a clear, practical way so you can understand what they are, why we need them, how to use it. What is API? An API (Application Programming interface) is a bridge that allows two software system to communicate with each other . Think of it like a waiter in a restaurant. you (client) place