Applied Supervised Learning with Python

Chapter 1

Python Machine Learning Toolkit

Learning Objectives

By the end of this chapter, you will be able to:

• Explain supervised machine learning and describe common examples of machine learning problems
• Install and load Python libraries into your development environment for use in analysis and machine learning problems
• Access and interpret the documentation of a subset of Python libraries, including the powerful pandas library
• Create an IPython Jupyter notebook and use executable code cells and markdown cells to create a dynamic report
• Load an external data source using pandas and use a variety of methods to search, filter, and compute descriptive statistics of the data
• Clean a data source of mediocre quality and gauge the potential ...