Free
CourseMachine Learning: Clustering with K-Means
Level up your machine learning skills by using unsupervised learning to find patterns hidden in data.
This course includes
This course includes
Skill level
BeginnerTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary2 hoursProjects
1Prerequisites
None
About this course
Continue your Machine Learning journey with Machine Learning: Clustering with K-means. Spot patterns and identify classes with K-means clustering, and unsupervised machine learning technique.
Skills you'll gain
Spot groups in unlabeled data
Build and assess K-means clustering algorithms
Improve your model with K-means++
Syllabus
Clustering: K-Means
Clustering is the most well-known unsupervised learning technique. It finds structure in unlabeled data by identifying similar groups.
Certificate of completion available with Plus or Pro
Earn a certificate of completion and showcase your accomplishment on your resume or LinkedIn.
Earn a certificate of completion
Show your network you've done the work by earning a certificate of completion for each course or path you finish.- Show proofReceive a certificate that demonstrates you've completed a course or path.
- Build a collectionThe more courses and paths you complete, the more certificates you collect.
- Share with your networkEasily add certificates of completion to your LinkedIn profile to share your accomplishments.
Reviews from learners
- The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.ChrisCodecademy Learner @ USA
- I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.RodrigoCodecademy Learner @ UK
- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA
Our learners work at
Join over 50 million learners and start Machine Learning: Clustering with K-Means today!
Looking for something else?
Related resources
- Article
EDA Prior to Unsupervised Clustering
Learn the EDA steps that can be helpful prior to creating an unsupervised clustering model. - Article
What is Scikit-Learn?
Open-source ML library for Python. Built on NumPy, SciPy, and Matplotlib. - Article
Supervised vs. Unsupervised
Introduction to the two main classes of algorithms in Machine Learning — Supervised Learning & Unsupervised Learning.
Related courses and paths
- Skill path
Build a Machine Learning Model
Learn to build machine learning models with Python.Includes 10 CoursesWith CertificateBeginner Friendly23 hours - Career path
Machine Learning/AI Engineer
Machine Learning/AI Engineers build end-to-end ML applications and power many of the apps we use every day. They work in Python, Git, & ML.Includes 7 CoursesWith CertificateIntermediate50 hours - Career path
Data Scientist: Machine Learning Specialist
Machine Learning Data Scientists solve problems at scale, make predictions, find patterns, and more! They use Python, SQL, and algorithms.Includes 27 CoursesWith Professional CertificationBeginner Friendly90 hours
Browse more topics
- Python3,567,634 learners enrolled
- Data science4,417,273 learners enrolled
- Machine learning646,332 learners enrolled
- Code foundations7,321,611 learners enrolled
- Computer science5,776,876 learners enrolled
- Web development4,900,944 learners enrolled
- For business3,293,018 learners enrolled
- JavaScript2,834,157 learners enrolled
- Data analytics2,402,891 learners enrolled
Unlock additional features with a paid plan
Practice Projects
Guided projects that help you solidify the skills and concepts you're learning.Assessments
Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.Certificate of Completion
Earn a document to prove you've completed a course or path that you can share with your network.