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Become a Python Data Analyst

You're reading from   Become a Python Data Analyst Perform exploratory data analysis and gain insight into scientific computing using Python

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781789531701
Length 178 pages
Edition 1st Edition
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Alvaro Fuentes Alvaro Fuentes
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Alvaro Fuentes
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Understanding the scikit-learn library

In this section, we will look at the scikit-learn library and will use it to implement a simple predictive model. To do this, we need to understand scikit-learn and how to load the iris dataset to the Jupyter Notebook. We will then take a closer look at how to build a supervised machine learning model using scikit-learn and, using this, we will build a simple predictive model.

scikit-learn

scikit-learn is the most popular Python library for doing machine learning. It provides a simple and efficient API with tools for data modeling and data analysis. It is built on top of NumPy, SciPy, and Matplotlib. The following is a screenshot of a Jupyter Notebook:

We do not import the entire...

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