Intro to Data Science Module 2: Regression and Regularization Algorithms (Session 2)

This webinar is part of the Introduction to Data Science Webinar Series

Practicum session

• Regression with many correlated variables
• Automatic variable selection, early approaches and problems
• Gradient descent
• Regularization (L1 vs L2 vs ElasticNet)

Watch recorded presentation below.

Presenter

Aman Verma  is a Data Engineer with a PhD in Epidemiology from McGill University, and an undergraduate degree in Computer Science. He has experience in developing machine learning systems with large databases, particularly for scientific data in healthcare. While he’s comfortable learning any programming language, he’s recently become particularly interested in R.

Aman is currently involved in a number of projects, including measuring how following opioid prescription guidelines can decrease the risk of opioid overdose, modelling trajectories of chronic obstructive pulmonary disease, and assessing how to best prioritize ambulance calls using secondary healthcare data.