This course introduces you to one of the main types of Machine Learning: Unsupervised Learning. You will learn how to find insights from data sets that do not have a target or labeled variable. You will learn several clustering and dimension reduction algorithms for unsupervised learning as well as how to select the algorithm that best suits your data. The hands-on section of this course focuses on using best practices for unsupervised learning.
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About this Course
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Shareable Certificate
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Intermediate Level
Approx. 23 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessSkills you will gain
- Dimensionality Reduction
- Unsupervised Learning
- Cluster Analysis
- K Means Clustering
- Principal Component Analysis (PCA)
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level
Approx. 23 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
4 hours to complete
Introduction to Unsupervised Learning and K Means
4 hours to complete
11 videos (Total 62 min), 2 readings, 6 quizzes
3 hours to complete
Distance Metrics & Computational Hurdles
3 hours to complete
6 videos (Total 57 min), 1 reading, 4 quizzes
4 hours to complete
Selecting a Clustering Algorithm
4 hours to complete
11 videos (Total 86 min), 1 reading, 6 quizzes
4 hours to complete
Dimensionality Reduction
4 hours to complete
5 videos (Total 46 min), 1 reading, 6 quizzes
Reviews
- 5 stars78.97%
- 4 stars15.34%
- 3 stars2.27%
- 2 stars1.70%
- 1 star1.70%
TOP REVIEWS FROM UNSUPERVISED MACHINE LEARNING
by NWDec 25, 2020
Great course for learning about Unsupervised Learning
by MKFeb 21, 2022
Thank you Coursera.
Thank you IBM.
Thank you to all instructors.
by AVJul 5, 2021
Great course. Maybe there is one instance of wrong answer in one of the quizzes. Everything elese is perfect. Thanks IBM !
by MBApr 22, 2021
A high quality course with lots of practical techniques
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