Machine Learning: Clustering with K-Means
Offered By: Codecademy
Course Description
Overview
Use unsupervised learning to find patterns hidden in data.
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.
* Spot groups in unlabeled data
* Build and assess K-means clustering algorithms
* Improve your model with K-means++
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.
* 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.
- Lesson: K-Means Clustering
- Quiz: K-Means Clustering
- Lesson: K-Means++ Clustering
- Project: Handwriting Recognition using K-Means
- Informational: Next Steps
Taught by
Nitya Mandyam
Related Courses
Продвинутые методы машинного обученияHigher School of Economics via Coursera Advanced Machine Learning and Signal Processing
IBM via Coursera Applied Data Science for Data Analysts
Databricks via Coursera Applied Machine Learning
Johns Hopkins University via Coursera Aprendizaje Automático con Python
IBM via Coursera