Loading scikit-learn’s Iris Dataset
# Load libraries from sklearn import datasets import matplotlib.pyplot as plt
Load Iris Dataset
The Iris flower dataset is one of the most famous databases for classification. It contains three classes (i.e. three species of flowers) with 50 observations per class.
# Load digits dataset iris = datasets.load_iris() # Create feature matrix X = iris.data # Create target vector y = iris.target # View the first observation's feature values X
array([ 5.1, 3.5, 1.4, 0.2])
Python Example for Beginners
Two Machine Learning Fields
There are two sides to machine learning:
- Practical Machine Learning:This is about querying databases, cleaning data, writing scripts to transform data and gluing algorithm and libraries together and writing custom code to squeeze reliable answers from data to satisfy difficult and ill defined questions. It’s the mess of reality.
- Theoretical Machine Learning: This is about math and abstraction and idealized scenarios and limits and beauty and informing what is possible. It is a whole lot neater and cleaner and removed from the mess of reality.
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