In this lesson, you learned how to
use python to explore, visualize and manipulate data. Data exploration is at
the core of data science and is a key element in data analysis and
machine learning. Machine learning is a subset
of data science that deals with predictive modeling. In other words, machine learning uses data
to create predictive models in order to predict unknown values. You might use machine learning to predict
how much food a supermarket needs to order or to identify plants in a photograph. Machine learning works by identifying
relationships between data values that describe characteristics of something. It's features such as the height and
color of a plant and the value. We want to predict, the label,
such as the species of plant. These relationships are built into
a model through a training process.