In this section, we will determine the best classifier to predict the species of an Iris flower using its four different features. We will use a combination of four different data preprocessing techniques along with four different ML algorithms for the task. The following is the pipeline design for the job:
We will proceed as follows:
- We start with importing the various libraries and functions that are required for the task:
from sklearn.datasets import load_irisfrom sklearn.preprocessing import StandardScalerfrom sklearn.decomposition import PCAfrom sklearn.preprocessing import MinMaxScalerfrom sklearn.model_selection ...
