Introduction to Machine Learning: Regression - Part 1

Dive into a comprehensive 51-minute webinar on regression analysis, the first part of an Introduction to Machine Learning series presented by Antoine Victoria and Wiktor Owczarz from Compass Lexecon's Data Science team. Explore the fundamentals of estimating relationships and predicting outcomes for continuous target variables. Learn essential regression concepts, algorithms, and techniques for measuring and evaluating variable relationships. Gain insights into practical considerations and potential pitfalls when applying regression, illustrated through various examples. Discover the basics of statistical learning, its applications, and the differences between parametric and non-parametric methods. Examine real-world applications, including simple and multiple regression models, with a focus on price vs. cost analysis and cartel overcharge estimation. Understand how to interpret regression results, assess model accuracy, and determine what constitutes a good model according to industry experts.