Machine Learning
536 learners
K-means Clustering Decoded
Unlock the secrets of K-means clustering, the backbone of unsupervised learning. You will group data into clusters, identify cluster centroids, and refine cluster quality.
MatPlotLib
Numpy
Python
Scikit-learn
See path
4 lessons
12 practices
2 hours
Badge for Machine Learning Model Development,
Machine Learning Model Development
Lessons and practices
Lesson 1: Mastering K-means Clustering with Python: From Theory to Practical Implementation
Spectral Clustering of Stars
Mystery Glitch in the Iris Galaxy
Cluster Centroids Initialization
Lesson 2: Visualizing K-means Clustering on an Iris Dataset with Matplotlib
Visualizing Iris Clusters with K-means and Matplotlib
Color Remix in Cluster Visualization
Painting Clusters in Space
Lesson 3: Mastering K-means Clustering and the Rand Index with Python
Visualizing Clusters with K-Means and Rand Index Evaluation
Adjusting the Number of Clusters in KMeans
Measuring the Cluster Performance
Lesson 4: Mastering K-means Clustering: Selection of Clusters and Centroid Initialization
Visualizing K-means Clustering on an Iris-like Dataset
Plotting the Cosmos: Add the K-means Visualization
Charting the Course with K-Means Clustering
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