Classification: Involves training a model

Classification involves training a model using a labeled dataset, where each input is paired with its correct output label. The model learns patterns and relationships in the data, so it can later predict labels for new, unseen inputs. "Here is your complete guide about the classification . Classification is a 2 step process. Also, shared an example to understand the classification process. " Data Mining: Data mining in general terms means mining or digging deep into data that is in different forms to gain patterns, and to gain knowledge on that pattern. In the process of data mining, large data sets are first sorted, then patterns are identified and relationships are established to perform data analysis and solve problems. Classification is a task in data mining that involves assigning a class label to each instance in a dataset based on its features. The goal of classification ... Classification is the activity of assigning objects to some pre-existing classes or categories. Learn about different kinds of classification , evaluation methods, applications and related concepts from various fields.