Exploration of Iris dataset using scikit learn Part 1
Published in
4 min readJun 3, 2020
Step by Step tutorial for loading and exploring the Iris dataset!
What you’ ill gonna learn :
- How to load builtin datasets from the scikit learn module?
- How to get Features and target data?
- Some basic useful function to explore dataset insights
- Video Demonstration
Welcome back Machine learning enthusiasts :)
Loading Datasets
This is how we load a builtin dataset from scikit learn datasets module
from sklearn.datasets import load_irisiris= load_iris()
It’s pretty intuitive right it says that go to sklearn datasets and then import/get iris dataset and store it in a variable named iris.
After writing import l click Tab button on keyboard and you can find other builtin datasets as well.
Now we have loaded iris dataset let’s print its features/input and target/output
Storing Features and Target of Iris dataset
# Store features matrix in X
X= iris.data#Store target vector in
y= iris.target
