Classification with Python

This notebook contains an overview of basic python functionalities for classification using the sklearn library.

Note: this notebook is purposely not 100% comprehensive, it only discusses the basic things you need to get started.

Import of the basic packages to use

%matplotlib inline

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

from google.colab import drive
drive.mount('/content/drive')

Mounted at /content/drive

Link to the dataset on the UCI Machine Learning Repository.
As first step we load the whole Iris Dataset and make confidence with its features.