intermediateCertificate$25/mo
Unsupervised Learning in Python
by Benjamin Wilson · DataCamp
4.4(3,600 reviews)
100K+ enrolled4 hoursUpdated 2024-08
What You'll Learn
Understand the fundamentals and key concepts of unsupervised learning
Apply unsupervised learning techniques to solve real-world problems
Understand the fundamentals and key concepts of clustering
Apply clustering techniques to solve real-world problems
Understand the fundamentals and key concepts of PCA
Apply PCA techniques to solve real-world problems
About This Course
Apply K-means clustering, hierarchical clustering, PCA, and t-SNE for dimensionality reduction and pattern discovery.
Curriculum
Module 1: Unsupervised learning & Clustering6 lessons
- Introduction to unsupervised learning
- Unsupervised learning in Practice
- Hands-on Exercise: Unsupervised learning
- Introduction to clustering
- Clustering in Practice
- Hands-on Exercise: Clustering
Module 2: PCA & Dimensionality reduction6 lessons
- Introduction to PCA
- PCA in Practice
- Hands-on Exercise: PCA
- Introduction to dimensionality reduction
- Dimensionality reduction in Practice
- Hands-on Exercise: Dimensionality reduction
Module 3: Scikit-learn3 lessons
- Introduction to scikit-learn
- Scikit-learn in Practice
- Hands-on Exercise: Scikit-learn
Instructor
Benjamin Wilson
Instructor at DataCamp
Pros & Cons
Pros
- Offers a certificate of completion
- Hands-on interactive exercises
- Taught by Benjamin Wilson
- Well-structured curriculum
Cons
- Requires paid subscription
- Self-paced requires discipline
$25/mo
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