Mistakes to Avoid in Machine Learning

It’s exciting to build machine learning models, but dealing with errors, bad output or a host of other issues can slow your progress. In this fast-paced course from Patagonia data scientist Brett Vanderblock, you’ll learn the mistakes you should avoid when building machine learning models. you’ll explore how to better work with experts, standardize your data, prevent data leakage, and how to give better presentations. From dealing with bad data, to preventing overfitting, to not getting feedback, you’ll know how to avoid key mistakes when building your machine learning models.