In this chapter you will be learning about one of the most basic types of Machine Learning ,i.e. Supervised Machine Learning .
Supervised Machine Learning is a type of ML in which the input data is labelled and predicts the training dataset accordingly.
The labelled data means some input data is already tagged with the correct output.
Data Labelling is a crucial and integral part of Data science and Machine Learning, it provides more accurate and reliable context for the machine to work with.
It can also be defined as the process of identifying raw data and providing information about it so that the machine can learn from it.
It can be as easy as whether the image has a bird ?
The main aim of data labelling is to improve the ML model and it is also a crucial prerequisite for Supervised ML.