beginnerCertificateFree
Intro to Machine Learning
by Dan Becker · Kaggle
4.5(9,800 reviews)
500K+ enrolled3 hoursUpdated 2024-03
What You'll Learn
Understand the fundamentals and key concepts of decision trees
Apply decision trees techniques to solve real-world problems
Understand the fundamentals and key concepts of model validation
Apply model validation techniques to solve real-world problems
Understand the fundamentals and key concepts of random forests
Apply random forests techniques to solve real-world problems
About This Course
Learn the core ideas in machine learning and build your first models with hands-on exercises.
Curriculum
Module 1: Decision trees3 lessons
- Introduction to decision trees
- Decision trees in Practice
- Hands-on Exercise: Decision trees
Module 2: Model validation3 lessons
- Introduction to model validation
- Model validation in Practice
- Hands-on Exercise: Model validation
Module 3: Random forests3 lessons
- Introduction to random forests
- Random forests in Practice
- Hands-on Exercise: Random forests
Module 4: Scikit-learn3 lessons
- Introduction to scikit-learn
- Scikit-learn in Practice
- Hands-on Exercise: Scikit-learn
Instructor
Dan Becker
Instructor at Kaggle
Pros & Cons
Pros
- Completely free to access
- Offers a certificate of completion
- Hands-on interactive exercises
- Taught by Dan Becker
Cons
- May be too basic for experienced practitioners
- Self-paced requires discipline
Free
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