Machine Learning
1,608 learners
Unsupervised Learning and Clustering
Navigate through the intricacies of Unsupervised Learning and Clustering in this hands-on course. Skip the high-level libraries and build core aspects of unsupervised learning methods from scratch, including k-Means, mini-batch k-Means, Principal Component Analysis, and DBSCAN. Learn to assess cluster quality with crucial clustering metrics like homogeneity, completeness, and v-metric.
Numpy
Python
4 lessons
15 practices
3 hours
Badge for Machine Learning Model Development,
Machine Learning Model Development
Course details
Understanding Clustering with k-Means Algorithm Basics
Visualize Clustering with k-Means Algorithm
Exploring Space with More Clusters
Calculating the New Center in Clustering
Implementing the k-Means Centroid Update
Previous
Next
Meet Cosmo:
The smartest AI guide in the universe
Our built-in AI guide and tutor, Cosmo, prompts you with challenges that are built just for you and unblocks you when you get stuck.
Sign up
Join the 1M+ learners on CodeSignal
Be a part of our community of 1M+ users who develop and demonstrate their skills on CodeSignal