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https://github.com/izam-mohammed/celebrity-classification
In this end-to-end data science and machine learning project 📊, we classify sports personalities 🏀. After Hyperparameter tuning 🔧, I found that a Support Vector Machine (SVM) is the best for this classification 🏆. The model has 85% accuracy 📈 in classifying images 📸.
https://github.com/izam-mohammed/celebrity-classification
flask image-classification machine-learning ml-project model numpy pandas python svm
Last synced: 4 days ago
JSON representation
In this end-to-end data science and machine learning project 📊, we classify sports personalities 🏀. After Hyperparameter tuning 🔧, I found that a Support Vector Machine (SVM) is the best for this classification 🏆. The model has 85% accuracy 📈 in classifying images 📸.
- Host: GitHub
- URL: https://github.com/izam-mohammed/celebrity-classification
- Owner: izam-mohammed
- Created: 2022-12-19T09:37:47.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-03-03T14:01:03.000Z (9 months ago)
- Last Synced: 2024-05-01T23:37:10.735Z (7 months ago)
- Topics: flask, image-classification, machine-learning, ml-project, model, numpy, pandas, python, svm
- Language: Jupyter Notebook
- Homepage: https://github.com/izam-mohammed/Celebrity-Classification
- Size: 101 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- Code of conduct: CODE_OF_CONDUCT.md
- Security: SECURITY.md