intermediateCertificate$149
Data Science: Machine Learning
by Rafael Irizarry · edX
4.5(3,800 reviews)
120K+ enrolled8 weeksUpdated 2024-06
What You'll Learn
Understand the fundamentals and key concepts of machine learning
Apply machine learning techniques to solve real-world problems
Understand the fundamentals and key concepts of cross-validation
Apply cross-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
Part of Harvard's Data Science certificate covering cross-validation, kNN, random forests, and recommendation systems in R.
Curriculum
Module 1: Machine learning & Cross-validation6 lessons
- Introduction to machine learning
- Machine learning in Practice
- Hands-on Exercise: Machine learning
- Introduction to cross-validation
- Cross-validation in Practice
- Hands-on Exercise: Cross-validation
Module 2: Random forests & Recommendation systems6 lessons
- Introduction to random forests
- Random forests in Practice
- Hands-on Exercise: Random forests
- Introduction to recommendation systems
- Recommendation systems in Practice
- Hands-on Exercise: Recommendation systems
Module 3: R programming3 lessons
- Introduction to R programming
- R programming in Practice
- Hands-on Exercise: R programming
Instructor
Rafael Irizarry
Instructor at edX
Pros & Cons
Pros
- Offers a certificate of completion
- High-quality video lectures
- Taught by Rafael Irizarry
- Well-structured curriculum
Cons
- Requires paid subscription
- Self-paced requires discipline
$149
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