KMeans Clustering Explained: Visualize Data Clusters in Python

KMeans Clustering Explained: Visualize Data Clusters in Python

In this video, we dive into the powerful KMeans clustering algorithm in Python, walking you through the entire process of clustering data from scratch. You’ll learn how to implement KMeans, visualize the clusters, and make sense of your data in a simple yet effective way. Whether you’re new to machine learning or have been struggling with clustering techniques, this tutorial will help you gain a solid understanding of KMeans and how it can be applied to real-world datasets

By the end of this video, you’ll know how to:

Load and preprocess your data for clustering
Use the KMeans algorithm to create clusters
Visualize the results with scatter plots
Determine the optimal number of clusters with the Elbow method
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