The five assumptions of linear regression
From the "649: Introduction to Machine Learning" in which SDS Founder Kirill Eremenko and AI expert Hadelin de Ponteves join @JonKrohnLearns to review essential ML concepts. From classification errors to logistic regression, feature scaling, the elbow method and more. The popular data science instructors also introduce their latest course: Machine Learning in Python: Level 1.
Watch, listen to, or read the full episode at https://www.superdatascience.com/649