https://github.com/noranta4/machine-learning-homeworks
Machine learning homeworks • University project • 2016 - Machine Learning - MSc in Computer Science, I year
https://github.com/noranta4/machine-learning-homeworks
bayesian-networks clustering gaussian-mixture-models knn machine-learning pca regression svm
Last synced: 11 months ago
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Machine learning homeworks • University project • 2016 - Machine Learning - MSc in Computer Science, I year
- Host: GitHub
- URL: https://github.com/noranta4/machine-learning-homeworks
- Owner: noranta4
- Created: 2019-02-25T09:55:03.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-02-25T10:55:42.000Z (over 7 years ago)
- Last Synced: 2025-04-11T05:58:01.780Z (about 1 year ago)
- Topics: bayesian-networks, clustering, gaussian-mixture-models, knn, machine-learning, pca, regression, svm
- Language: Python
- Homepage:
- Size: 5.38 MB
- Stars: 2
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Machine Learning exercises
Machine Learning homeworks from the ML course, prof. Barbara Caputo.
University project • 2016 - Machine Learning - MSc in Computer Science, I year
Each folder contains the statement of each problem as well as the solution code and the report.
## Problems
1. Principal Component Analysis and Naive Bayes Classification.
2. Regression.
3. K-nearest neighbors.
4. Support-vector machines.
5. Clustering.
6. Bayesian networks.