Free
CourseMachine Learning: K-Nearest Neighbors
Sharpen your machine learning skills by learning how to prepare, implement, and assess the K-Nearest Neighbors algorithm.
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 vary3 hoursProjects
1Prerequisites
None
About this course
Continue your Machine Learning journey with Machine Learning: K-Nearest Neighbors (KNN). Learn how to classify unknown data points based on their similarity to other, known, data points. Use distance and proximity to validate your predictions, and get started with classification techniques.
Skills you'll gain
Prepare data for a KNN model
Explain distance and proximity
Implement and assess a KNN model
Syllabus
Classification: K-Nearest Neighbors
K-Nearest Neighbors is a supervised machine learning algorithm for classification. You will implement and test this algorithm on several datasets.
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.
Machine Learning: K-Nearest Neighbors course ratings and reviews
69 ratings
- 5 stars
- 4 stars
- 3 stars
- 2 stars
- 1 star
- 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: K-Nearest Neighbors today!
Looking for something else?
Related resources
- Article
Training Set vs Validation Set vs Test Set
This article teaches the importance of splitting a data set into training, validation and test sets. - Article
Normalization
This article describes why normalization is necessary. It also demonstrates the pros and cons of min-max normalization and z-score normalization. - Article
What is Scikit-Learn?
Open-source ML library for Python. Built on NumPy, SciPy, and Matplotlib.
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 - Skill path
Build a Recommender System
Learn everything you need to build a recommender system from scratch.Includes 6 CoursesWith CertificateBeginner Friendly28 hours
Browse more topics
- Python3,934,405 learners enrolled
- Data science4,876,370 learners enrolled
- Machine learning727,356 learners enrolled
- Code foundations7,953,564 learners enrolled
- Computer science6,421,586 learners enrolled
- Web development5,332,171 learners enrolled
- For business3,729,981 learners enrolled
- JavaScript3,031,121 learners enrolled
- Data analytics2,817,993 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.