MyEducator - Machine Learning in Python

Authors

Mark Keith, PhD

Brigham Young University

“Data are just summaries of thousands of stories—tell a few of those stories to help make the data meaningful.” —Chip and Dan Heath

Data science techniques are changing daily, thus requiring constant evolution of academic curriculum to maintain relevance. Paper-based books full of text-based instruction are inadequate because they cannot keep up with the rate of change. Therefore, the purpose of this online book is to teach—through practice-based video tutorials—the latest and most common techniques for both descriptive and predictive data analytics. We currently use an industry-leading tool, Tableau, to teach dashboard design and storytelling, which describes the current state of an organization based on measurable data. However, the supreme value of data is in its ability to predict the future. This is also the most difficult and risky directive. Therefore, we begin by teaching basic methods in Excel for multiple regression and the assumptions of linear regression. Afterward, the bulk of the course is spent covering more advanced algorithms and techniques using an industry-leading tool for predictive analysis: Microsoft Azure Machine Learning Studio. We chose these tools first because they are mainstream tools that you are likely to use across a variety of industries, and second because both come with free versions for students.

Any Device, Any Location, Any Time

The course reader looks great on desktops, laptops, tablets, phones, and just about any other device. Students are able to read, watch, and listen how, where, and when they want.
Embedded, Customizable Assessments

Your students complete assessments inline with the text, making for a seamless, engaging experience. As the instructor, you can customize existing assessments or create entirely new ones within the text.
Advanced Analytics

Monitor the progress of your class collectively as well as students individually. Course analytics provide you with student engagement and performance in reading, videos, and assessments. Analytics help you focus directly on those topics or students that need it.
Flashcards

Flashcards are a great way to learn the key terms. Each course comes pre-loaded with cards for every term. Students can also make their own to enhance their learning experience.
Searchable Glossary

A searchable glossary is available at any point in the course reader, allowing students to search for any key term they want and jump straight to that word in the text - no matter where they're reading.
Highlights and Notes

Students can highlight the text and make notes throughout the content using their touch screen or mouse.
Text, Video, Audio, Assessments

Course content is provided in multiple ways, allowing your students to learn the way they learn. The HTML5-based course reader works like any other web page--the way the web was meant to be used.

Machine Learning in Python From Data Collection to Model Deployment

Authors

Any Device, Any Location, Any Time

Embedded, Customizable Assessments

Advanced Analytics

Flashcards

Searchable Glossary

Highlights and Notes

Text, Video, Audio, Assessments

Machine Learning in Python
From Data Collection to Model Deployment