Subject – Personal And Professional Development – Community

This workshop focuses on regression models to provide participants with a foundational understanding of machine learning concepts, techniques, and tools used for linear and nonlinear regression. Through a combination of lectures and hands-on exercises, participants will gain practical experience with regression algorithms, one of the most popular machine-learning techniques. The workshop begins with an overview […]

Information for Participants This workshop introduces regular expressions (regex) in R. While we do not expect extensive experience with R, we do assume knowledge of R and RStudio to the extent covered in Beginner R Part 1 and Beginner R Part 2. Being familiar with the tidyverse package may be beneficial, but we do not expect all participants to be […]

This workshop offers an exploration of machine learning models for clustering and classification. With the increasing availability of large datasets, these models play a crucial role in extracting valuable insights and making informed decisions. In this workshop, participants will gain insight into clustering algorithms such as K-means, explore popular classification algorithms like decision trees, and […]

Information for Participants Statistics Canada releases Public Use Microdata Files (PUMFs) for the Census and many of its surveys. These de-identified files contain responses at the individual level and are a rich source of data for researchers. This workshop demonstrates how to access, explore, and analyze Statistics Canada microdata using R. We will work with […]

In this workshop, participants will dive into the fascinating world of neural networks. Neural networks have emerged as powerful models for solving complex and nonlinear problems. This workshop begins with an introduction to neural networks, covering their architecture, activation functions, and training algorithms. Participants will gain insights into how neural networks can effectively capture and […]