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Mastering Clustering in Machine Learning

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.

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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