Introduction to Python packages – sklearn (scikit-learn)

First, let's look at the functions contained in the Python package called sklearn. The code has just three lines:

import sklearn as sk 
x=dir(sk) 
print(x) 

The related output is shown here:

For one specific submodule, it is called sklearn.cluster, as shown:

from sklearn import cluster 
x=dir(cluster) 
print(x) 

The output is shown here:

In addition, we can show many embedded datasets by using the following three lines of Python code:

import sklearn.datasets as datasets 
x=dir(datasets) 
print(x) 

The output is shown here:

For example, if we want to use a dataset called iris, we can apply the load_iris() function, as shown:

from sklearn import datasets 
data= datasets.load_iris() 
print(data) 

The first few lines are shown here:

The following code is one example of using the module:

from sklearn import cluster...