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K-Means Clustering in Python - Clients Segmentation with Unsupervised Learning
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In this video I'll explain how can you apply the K-Means algorithm to find clusters with unlabeled data - Unsupervised Learning. I'll also explore how to find the optimal number of clusters (k) and how to evaluate the model.
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Keywords
=====================
unsupervised learning,k means clustering python,k means clustering in machine learning,machine learning,customer segmentation using unsupervised learning,k-means clustering,customer segmentation in python,customer segmentation using python,customer segmentation using rfm k-means & python,clustering in machine learning,clustering,customer segmentation using unsupervised algorithms,k means clustering,advanced customer segmentation with python
SUPPORT THE CHANNEL
===============================
- FREE: Leave a like in the video
MORE ML PROJECTS
===============================
ML Clustering Projects
ML Regression Projects
ML Classification Projects
Sentiment Analysis Projects
Computer Vision Projects
Music Credits:
Song: AWN - Nouvelle Lune (Vlog No Copyright Music)
Music provided by Vlog No Copyright Music.
Keywords
=====================
unsupervised learning,k means clustering python,k means clustering in machine learning,machine learning,customer segmentation using unsupervised learning,k-means clustering,customer segmentation in python,customer segmentation using python,customer segmentation using rfm k-means & python,clustering in machine learning,clustering,customer segmentation using unsupervised algorithms,k means clustering,advanced customer segmentation with python
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