2023 EQUS Python Workshop

About this event

The EQUS Mentoring & Career Development Committee are pleased to offer Python training for EQUS members again in 2023. This year EQUS will be engaging NobleProg to deliver their Machine Learning with Python Course. The course will be delivered virtually over two consecutive days, with each day running for 7 hours including breaks. If we have a number of people interested in the course that are based at one node we will look at identifying a computer lab where individuals can be co-located while participating in the course.

Where: Virtual via Zoom

When: Thursday 14th - Friday 15th December

Prerequisites: Knowledge of Python programming language.  Basic familiarity with statistics and linear algebra is recommended.

Course overview: The aim of this course is to provide a basic proficiency in applying Machine Learning methods in practice.  Through the use of the Python programming language and its various libraries, and based on a multitude of practical examples this course will teach you how to use the most important building blocks of Machine Learning, how to make data modelling decisions, interpret the outputs of the algorithms and validate the results. Participants will gain skills to understand and use the most fundamental tools from the Machine Learning toolbox confidently and avoid the common pitfalls of Data Science applications.

Course description:

Introduction to Applied Machine Learning

  • Statistical learning vs Machine learning
  • Iteration and evaluation
  • Bias-Variance trade-off

 Machine Learning with Python

  • Choice of libraries
  • Add-on tools


  • Linear regression
  • Generalisations and Nonlinearity
  • Exercises


  • Bayesian refresher
  • Naive Bayes
  • Logistic regression
  • K-Nearest neighbours
  • Exercises

 Cross-validation and Resampling

  • Cross-validation approaches
  • Bootstrap
  • Exercises

 Unsupervised Learning

  • K-means clustering
  • Examples
  • Challenges of unsupervised learning and beyond K-means

Registrations: please contact belinda.wallis@mq.edu.au.

Major funding support

Australian Research Council

The Australian Research Council Centre of Excellence for Engineered Quantum Systems (EQUS) acknowledges the Traditional Owners of Country throughout Australia and their continuing connection to lands, waters and communities. We pay our respects to Aboriginal and Torres Strait Islander cultures and to Elders past and present.