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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

Category: Business

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

Languages: English

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