Chevron Left
Back to Unsupervised Machine Learning

Learner Reviews & Feedback for Unsupervised Machine Learning by IBM

4.8
stars
50 ratings
13 reviews

About the Course

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. By the end of this course you should be able to: Explain the kinds of problems suitable for Unsupervised Learning approaches Explain the curse of dimensionality, and how it makes clustering difficult with many features Describe and use common clustering and dimensionality-reduction algorithms Try clustering points where appropriate, compare the performance of per-cluster models Understand metrics relevant for characterizing clusters Who should take this course? This course targets aspiring data scientists interested in acquiring hands-on experience with Unsupervised Machine Learning techniques in a business setting.   What skills should you have? To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....

Top reviews

AD
Apr 18, 2021

It is a beautifully crafted course that looks at various clustering algorithms. More importantly, show the pros and cons of each algorithm/technique based on different patterns.

AF
Nov 6, 2020

Great course and very well structured. I'm really impressed with the instructor who give thorough walkthrough to the code.

Filter by:

1 - 13 of 13 Reviews for Unsupervised Machine Learning

By Abdillah F

Nov 7, 2020

Great course and very well structured. I'm really impressed with the instructor who give thorough walkthrough to the code.

By Anishkumar D

Apr 19, 2021

It is a beautifully crafted course that looks at various clustering algorithms. More importantly, show the pros and cons of each algorithm/technique based on different patterns.

By My B

Apr 23, 2021

A high quality course with lots of practical techniques

By Nikolas R W

Dec 26, 2020

Great course for learning about Unsupervised Learning

By Jose M

Jan 25, 2021

Again, congrats to the instructor on the videos.

By Uğur K

Aug 23, 2020

Very tidy explanations

By Bernard F

Jan 26, 2021

An excellent course!

By Pierluigi A

Jan 20, 2021

great course

By Fernandes M R

Mar 10, 2021

very good

By Kaumil A

Feb 26, 2021

Awesome

By Ashish P

Mar 13, 2021

Very Well Structured, concepts clearly explained, lots of Labs to get a hands-on practice and in the end a summary of all the key points explained.

A couple of Labs for DBSCAN and Mean-Shift would have been great.

The concept of SVD with the matrices was not very clear from the videos. Maybe some detailed notes on how the matrices are divided into the submatrices could be really helpful.

By Keyur U

Dec 24, 2020

They have got the best instructor!

By Léa Z

Apr 18, 2021

As usual with IBM courses, the concepts are well explained and the split between theory and demo on python is very useful. However in this specific course there are a LOT of mistakes in graded tests, which have been spotted by users for months but are unanswered by course owners in discussion forums. It is a shame, and hopefully the last two modules of the professional certification are benefitting from a better maintenance.