https://github.com/shibasishb2/unsupervised-learning

Part 1 - To segment cars into various categories by fuel consumption and other attributes Part 2 - To classify a given silhouette as one of three types of vehicle, using a set of features extracted from the silhouette. The vehicle may be viewed from one of many different angles.
https://github.com/shibasishb2/unsupervised-learning

classification clustering principal-component-analysis python support-vector-machines

Last synced: about 2 months ago
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Part 1 - To segment cars into various categories by fuel consumption and other attributes Part 2 - To classify a given silhouette as one of three types of vehicle, using a set of features extracted from the silhouette. The vehicle may be viewed from one of many different angles.

• Host: GitHub
• URL: https://github.com/shibasishb2/unsupervised-learning
• Owner: shibasishb2
• Created: 2024-03-10T15:01:00.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-07-29T13:12:15.000Z (5 months ago)
• Last Synced: 2024-07-29T16:44:26.310Z (5 months ago)
• Topics: classification, clustering, principal-component-analysis, python, support-vector-machines
• Language: Jupyter Notebook
• Homepage:
• Size: 7.11 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Unsupervised-Learning

Part 1 - To segment cars into various categories by fuel consumption and other attributes. 

Part 2 - To classify a given silhouette as one of three types of vehicle, using a set of features extracted from the silhouette. The vehicle may be viewed from one of many different angles.

# Skills & Tools Covered

- Clustering

- Support Vector Machines

- Principal Component Analysis

- Classification

- Python