Introduction to Machine Learning with Python

University of Edinburgh


23 - 26 August 2022

13:00 - 17:00

Instructors: Tom Pollard

Helpers: Konstantina Palla, Hugh Warden


Introduction to Machine Learning with Python

This workshop comprises four lessons on applied machine learning in Python using health data. Lessons take participants through a typical pipeline for prediction, covering key concepts in preparing data, training models, and evaluating performance. We introduce models including decision trees and neural networks and highlight key issues in their responsible use. Prior knowledge of Python (for example, gained through a Carpentries course) is beneficial, but not required.


Ed-DaSH is a Data Science training programme for Health and Biosciences. The team has developed workshops using The Carpentries platform on the following topics. See workshops for dates and registration details. All workshops will be delivered remotely.

General Information

Where: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.

When: 23 - 26 August 2022. Add to your Google Calendar.

Requirements: Participants must have access to a computer with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).

Accessibility: We are dedicated to providing a positive and accessible learning environment for all. Please notify the instructors in advance of the workshop if you require any accommodations or if there is anything we can do to make this workshop more accessible to you.

Contact: Please email for more information.

Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.

Code of Conduct

Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.


Please be sure to complete the workshop survey (can be completed before you attend).

Ed-DaSH Survey


The lesson taught in this workshop is being piloted and a precise schedule is yet to be established.

Day 1 : 23rd August (13:00 - 16:00)

Introduction to machine learning What is machine learning?
Data preparation
Creating a model
Afternoon 14:30 - 14:45

Day 2 : 24th August (13:00 - 16:00)

Tree models Introduction to tree models
Variance and bias
Random Forests
Gradient Boosting
Afternoon 14:30 - 14:45

Day 3 : 25th August (13:00 - 16:00)

Neural networks What are neural networks?
Data preparation
Training and testing
Afternoon 14:30 - 14:45

Day 4 : 26th August (13:00 - 16:00)

Responsible machine learning Tasks
Afternoon 14:30 - 14:45


To participate in a workshop, you will need access to software as described below. In addition, you will need an up-to-date web browser.

We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.

Install the videoconferencing client

If you haven't used Zoom before, go to the official website to download and install the Zoom client for your computer.

Set up your workspace

Like other Carpentries workshops, you will be learning by "coding along" with the Instructors. To do this, you will need to have both the window for the tool you will be learning about (a terminal, RStudio, your web browser, etc..) and the window for the Zoom video conference client open. In order to see both at once, we recommend using one of the following set up options:

This blog post includes detailed information on how to set up your screen to follow along during the workshop.

Please check the “Setup” page of the lesson site for instructions to follow to obtain the software and data you will need to follow the lesson.