Customer Segmentation Using K-Means Clustering | Machine Learning | GeeksforGeeks

Описание к видео Customer Segmentation Using K-Means Clustering | Machine Learning | GeeksforGeeks

In this video, we're going to discuss how to perform K-Means Clustering to segregate customers, based on the given data, in the form of optimal clusters with live examples. We'll get to know all the required processes in detail such as how to understand the data, performing the Elbow Method to find the optimal number of clusters, training the model, plotting the clusters, etc. So, let's get started.

00:00 Let's Start
00:51 Understanding The Data
06:21 Perform Elbow Method To Find Optimal Number Of Clusters
11:28 Training a Model Using Unsupervised Learning Algorithm (K-Means) and Plotting of Clusters
16:29 Closing Notes

Download Dataset [https://www.kaggle.com/shwetabh123/ma...]

Check Out the Related Articles:

Introduction to K-Means Clustering [https://www.geeksforgeeks.org/k-means...]
Machine Learning Tutorial [https://www.geeksforgeeks.org/machine...]

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This video is contributed by Gaurav Sahani
Linkedin Profile of the contributor -   / gaurav-sahani-6177a7179  

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#machinelearning #kmeans #python #clustering #datascience

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