Free
CourseMachine Learning: K-Nearest Neighbors
Implement and assess the K-Nearest Neighbors algorithm.
378 learners enrolled
Skill level
BeginnerTime to complete
Approx. 3 hoursCertificate of completion
Included with paid plansPrerequisites
None
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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.
The platform
Hands-on learning
Don’t just watch or read about someone else coding — write your own code live in our online, interactive platform. You’ll even get AI-driven recommendations on what you need to review to help keep you on track.
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