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https://github.com/yeaseen/ml_pattern
:trident: Some recognized algorithms[Decision Tree, Adaboost, Perceptron, Clustering, Neural network etc. ] of machine learning and pattern recognition are implemented from scratch using python. Data sets are also included to test the algorithms.
https://github.com/yeaseen/ml_pattern
adaboost-learning als-algorithm artificial-neural-networks basic-learning binary-perceptron decision-tree-classifier multiclass-classification multiclass-kersel numpy perceptron-learning-algorithm pocket python recommendation-algorithm reward-and-punishment scikit-learn scratch template-matching
Last synced: about 1 month ago
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:trident: Some recognized algorithms[Decision Tree, Adaboost, Perceptron, Clustering, Neural network etc. ] of machine learning and pattern recognition are implemented from scratch using python. Data sets are also included to test the algorithms.
- Host: GitHub
- URL: https://github.com/yeaseen/ml_pattern
- Owner: Yeaseen
- Created: 2018-12-06T19:27:30.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2019-05-09T06:59:41.000Z (over 5 years ago)
- Last Synced: 2023-04-25T21:55:28.866Z (over 1 year ago)
- Topics: adaboost-learning, als-algorithm, artificial-neural-networks, basic-learning, binary-perceptron, decision-tree-classifier, multiclass-classification, multiclass-kersel, numpy, perceptron-learning-algorithm, pocket, python, recommendation-algorithm, reward-and-punishment, scikit-learn, scratch, template-matching
- Language: Python
- Homepage:
- Size: 6.44 MB
- Stars: 19
- Watchers: 2
- Forks: 3
- Open Issues: 0