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https://github.com/ljadhav25/k-means-clustering-data-science-
K-means clustering is a popular unsupervised machine learning algorithm used for partitioning a dataset into a pre-defined number of clusters. The goal is to group similar data points together and discover underlying patterns or structures within the data.
https://github.com/ljadhav25/k-means-clustering-data-science-
data-science dataanalysis kmeans-clustering-algorithm machine-learning matplotlib pandas python
Last synced: about 18 hours ago
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K-means clustering is a popular unsupervised machine learning algorithm used for partitioning a dataset into a pre-defined number of clusters. The goal is to group similar data points together and discover underlying patterns or structures within the data.
- Host: GitHub
- URL: https://github.com/ljadhav25/k-means-clustering-data-science-
- Owner: LJadhav25
- Created: 2024-06-23T04:07:11.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-06-23T04:11:22.000Z (7 months ago)
- Last Synced: 2024-11-18T20:54:22.642Z (2 months ago)
- Topics: data-science, dataanalysis, kmeans-clustering-algorithm, machine-learning, matplotlib, pandas, python
- Language: Jupyter Notebook
- Homepage:
- Size: 53.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# K-Means-Clustering
K-means clustering is a popular unsupervised machine learning algorithm used for partitioning a dataset into a pre-defined number of clusters. The goal is to group similar data points together and discover underlying patterns or structures within the data.