Coupon & course info
Course Name: Cluster Analysis and Unsupervised Machine Learning in Python
Subtitle: Data science techniques for pattern recognition, data mining, k-means clustering, and hierarchical clustering, and KDE.
Instructor: Taught by Lazy Programmer Inc., Data scientist and big data engineer
Subcategory: Data & Analytics
Provided by: Udemy
Price: $120 (before discount)
Free coupon code: See above (no charge for coupon)
Review info & popularity
As of January 2, 2017…
Students: 1586 students enrolled
Ratings: 68 reviews
Rank: ranked #108f in Udemy Business Courses
Brief course description
Cluster analysis is a staple of unsupervised machine learning and data science.
It is very useful for data mining and big data because it automatically finds patterns in the data, without the need for labels, unlike supervised machine learning.
In a real-world environment, you can imagine that a robot or an artificial intelligence won’t always have access to the optimal answer, or maybe there isn’t an optimal correct answer. You’d want that robot to be able to explore the world on its own, and learn things just by looking for patterns.
(Read more about this course on the official course page.)
Lazy Programmer Inc. bio
I am a data scientist, big data engineer, and full stack software engineer.
(Learn more about this instructor on the official course page.)
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Final details for this Udemy course
Skill level: Beginner Level
Lectures: 24 lessons
Duration: 2 hours of video
What you get: Understand the regular K-Means algorithm
Target audience: Students and professionals interested in machine learning and data science
Requirements: Know how to code in Python and Numpy
Access: Lifetime access
Peace of mind: 30 day money back guarantee
Availability: available online, as well as on iOS and Android
Download options: check course to see if you can download lessons