What Is Supervised learning?
Supervised learning is a type of machine learning that involves training a model using labeled data. It is a form of regression that uses labeled data to train a model.
Supervised learning is a common practice in machine learning and data science. It is used to train a model using labeled data.
The process involves fitting a model to the data and then using the model to make predictions. The model is typically a mathematical function that describes the relationship between the variables in the dataset. The model is fitted to the data by estimating the parameters of the model using statistical methods.
Supervised learning can be used to solve classification and regression problems. Classification problems involve predicting a discrete class label, while regression problems involve predicting a continuous quantity.