Data is the heart of machine learning. Just as a chef needs good ingredients to cook a tasty meal, we need good data to train our models. Data can be numbers, text, images, or anything that helps the computer learn patterns.
Imagine you're cleaning your room before a friend visits. Similarly, we clean and organize data for better results. We remove errors, fix missing values, and convert everything into a format the computer can understand.