edX
MOOC / Non-credit
0
Unsupervised Learning
About this course
Unsupervised learning is a category of machine learning algorithms that use unlabeled data and no prior training. Many algorithms fall into this category. This class will cover the more popular ones of K-Means, DBSCAN and Hierarchical Clustering. The course ends with a capstone project.
C
67/100
CourseAsk score
- What the provider tells you
- 16/45
- Who stands behind it
- 35/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- understanding unsupervised learning algorithms
- applying K-Means and DBSCAN in practical scenarios
- conducting Hierarchical Clustering analysis
- completing a capstone project based on unsupervised learning techniques
Machine Learning
#data-driven decision making
#machine learning
#unsupervised learning
#data analysis
#capstone project
#k-means
#hierarchical clustering
#DBSCAN
#algorithm implementation
#clustering techniques
$249.00
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