https://github.com/johnwlambert/machine_learning
Implementations of Several Basic Machine Learning Algorithms
https://github.com/johnwlambert/machine_learning
Last synced: about 1 year ago
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Implementations of Several Basic Machine Learning Algorithms
- Host: GitHub
- URL: https://github.com/johnwlambert/machine_learning
- Owner: johnwlambert
- Created: 2016-01-16T01:46:11.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2021-06-09T04:08:55.000Z (about 5 years ago)
- Last Synced: 2024-12-19T17:48:47.496Z (over 1 year ago)
- Language: Java
- Size: 32.2 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# machine_learning
Implementations of Several Basic Machine Learning Algorithms
by John Lambert
BS, Computer Science, Stanford University, Stanford, CA
MS, Biomedical Informatics, Stanford University, Stanford, CA
ID3 Decision Tree in Java
K-Means Clustering in Java
K-Nearest Neighbors ( One implementation written in Java, one written in Python)
Neural Net trained with Backpropagation (Sigmoid Function) in Java
Loss Functions: Softmax and SVM (Along with Gradient Calculations) in Python