Machine Learning with Python: A Practical Introduction

Course Overview

This course dives into the basics of Machine Learning using an approachable, and well-known programming language, Python. We will be reviewing two main components:

• The purpose of Machine Learning and where it applies to the real world.
• A general overview of Machine Learning topics, such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms.

Learning Objectives

In this course, you will:

• Explore examples of Machine Learning and the libraries and languages used to create them.
• Apply the appropriate form of regression to a data set for estimation.
• Apply an appropriate classification method for a particular Machine Learning challenge.
• Use the correct clustering algorithms on different data sets.
• Explain how recommendation systems work, and implement one on a data set.
• Demonstrate your understanding of Machine Learning in an assessed project.