On-Demand Webinar

Lunch Webinar Series - S1, Ep4

Fundamentals of Machine Learning - From Data Discovery to Model Implementation

About the webinar

This webinar will dive into Machine Learning that is very applicable to data scientists in all industries. There will be a focus on the life cycle of a typical data scientist project. From scoping the project, to exploratory data analysis, model building, model evaluation, and delivery of the project. We will dive into the challenges faced in each component and provide examples of common occurrences when working in this space.

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About the Expert

Labeeb Khan

Labeeb studied his undergraduate degree in Actuarial & Financial Mathematics with a big math background. He has spent the last few years working in the industry for roles including statistical analyst, actuarial analyst, and currently doing Risk Management. Over the past 6 years, Labeeb has also been privately teaching undergraduate level courses in mathematics and statistics, and working for a company that host exam lectures at UBC and McMaster for first and second year math/statistics students. He currently works as a Data Scientist for Aviva, having spent his previous 15 months working as an AI Consultant for Deloitte.

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