Explore supervised machine learning algorithms, prediction tasks, and model selection. Learn to improve performance using linear/logistic regression, KNN, decision trees, ensembling methods, and kernel techniques like SVM.
Build on your existing knowledge with intermediate machine learning pipelines techniques and real-world applications.
Start your journey into aws machine learning with foundational concepts and hands-on exercises designed for newcomers.
Log in to write a review
Loading reviews...
Explore more courses and learning paths related to Introduction to Machine Learning: Supervised Learning.
Browse more courses from Coursera
See the side-by-side breakdown and our pick by scenario
See the side-by-side breakdown and our pick by scenario
More intermediate-level AI and ML courses
Follow the full Intermediate Machine Learning Pipelines learning path
Browse 350+ structured AI learning paths from beginner to advanced
Provided by Coursera
Pricing: Free to audit, paid certificate
Free to audit. Certificate: $49-79. Coursera Plus: $59/month