Statistical Learning#
The general idea behind statistical learning or modelling of data is to understand the data and develop methods
that are broadly classified as supervised and unsupervised.
If one wants to predict or estimate a future outcome or output based on several influencing variables or inputs such type of modelling is called supervised statistical learning. On the contrary, if we have just the inputs and no expected output, we might want to understand the underlying relationships and structure of the data. These models are called unsupervised statistical learning models.