OVERVIEW

The “Practical Machine Learning” course is a 2-day, on-site training event focused on helping teams build robust, high-performing machine learning applications using Python’s powerful data ecosystem.

Teams will learn best practices for building, evaluating and deploying scalable data services using Python while exploring existing software libraries to help them save time and avoid reinventing the wheel.

The course will particularly appeal to programmers and scientists who seek to improve their proficiency in Python and streamline the data modelling process.

All exercises and discussions will be adjusted to reflect the problems currently facing your business.

A combination of teaching and hands-on programming exercises gives learners the opportunity to apply, test and refine their knowledge, improving retention and building confidence through real-time feedback.

Prerequisites and Recommended Background

Attendees are expected to be familiar with basic programming concepts and terminology (command line, shell, filesystem navigation, basic data structures and algorithms such as list or dictionary and basic Python syntax).

In addition, participants will be asked to download and install data and software libraries as per our provided “Before You Arrive – Setup Sheet” in advance of the session. Delays due to installation issues on-site may adversely affect the day’s training schedule.

Each participant should have their own laptop, with a system that supports Python (OS X, Linux, Windows…), to participate in the interactive exercises throughout the workshop.