Project 1

Q.NO.1 Explain the data. Check It is supervised or Unsupervised. Demonstrate?

Data:

This data contains seven columns with integer and string data types. The data suggests the insurance charges for people based on some constraints.

Supervised learning, as the name indicates, has the presence of a supervisor as a teacher. Basically supervised learning is when we teach or train the machine using data that is well labelled. Which means some data is already tagged with the correct answer. After that, the machine is provided with a new set of examples(data) so that the supervised learning algorithm analyses the training data(set of training examples) and produces a correct outcome from labelled data.

Unsupervised learning is the training of a machine using information that is neither classified nor labeled and allowing the algorithm to act on that information without guidance. Here the task of the machine is to group unsorted information according to similarities, patterns, and differences without any prior training of data.

This data is supervised learning because these are the previous data given to the machine that is well labelled.

I have attached python notebook for your reference please find the attached file.