3.2 You are provided with  access at which contains the classic 150-row

   please click on the link:  iris data:  The dataset have the following features.  

(a)    Data Preparation   

   Write a Python code to:

       · Load the into a Pandas DataFrame and print the first eight rows.                                                                                             

       ·  Label encoding or One hot column encoding for the Species column and split the 

Iris_dataset.csv into 80% train and 20% test.

(b)   Write Python code to train the following algorithms using the 80% train portion:  Logistic Regression, Support Vector Machine, Decision Tree and Random Forest                                                                                            

(c)   Write a Python code for predictions using the following algorithms: Logistic Regression, Support Vector Machine, Decision Tree and Random Forest. (25 marks)