<p>A self-paced Kaggle Learn course introducing the core ideas of machine learning. Covers how models work, basic data exploration, building your first model, model validation, underfitting and overfitting, random forests, and entering machine learning competitions – using scikit-learn in hands-on Kaggle notebooks.</p><ul><li>Seven tutorial lessons with paired coding exercises</li><li>Instructor: Dan Becker</li><li>Recommended prerequisite: Kaggle's Python course</li><li>Estimated ~3 hours to complete; free completion certificate</li><li>Prepares learners for Intermediate Machine Learning, Machine Learning Explainability, and Intro to Deep Learning</li></ul><p>Create a free Kaggle account to begin any lesson.</p>