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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.