ML with Iris dataset for beginners

$ mkdir 01_mlops_start
$ cd 01_mlops_start/

$ python3 --verrsion

$ python3 -m venv ml-env

$ source ml-env/bin/activate

$ sudo apt update && sudo apt install -y python3 python3-pip python3-venv

$ pip install -U scikit-learn

$ pip install pandas

$ python3.12 -> enter

>>> import pandas as pd

>>> from sklearn.datasets import load_iris

>>> iris = load_iris()

>>> df = pd.DataFrame(iris.data, columns=iris.feature_names)

>>> df["target"]= iris.target

>>> print(df.head())

>>> print("\nTarget Names:", iris.target_names)

Target Names: ['setosa' 'versicolor' 'virginica']