K means Clustering Implementation | Machine Learning Project 2

Опубликовано: 13 Август 2026
на канале: The AI & DS Channel

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This machine learning project tutorial will look at implementing the K Means clustering algorithm on the Wine quality dataset. The elbow method and the silhouette method are used to find the optimum number of clusters. The Kelbow visualizer is also used to select the optimum value for the number of clusters.

Thanks for watching!
Roshan Cyriac Mathew

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Pandas tutorial Series:
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Wine quality dataset on Kaggle:
https://www.kaggle.com/uciml/red-wine...

Wine Quality dataset on UCI ML Repository:
https://archive.ics.uci.edu/ml/datase...

Link to my code on GitHub:
https://github.com/roshancyriacmathew...

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#kmeansclustering #elbowmethod #silhouettemethod #kaggleproject #machinelearningproject