https://github.com/mrtejas/ml-algos
A collection of fundamental Machine Learning Algorithms Implemented from scratch along-with their applications for various ML tasks like clustering, thresholding, data analysis, prediction, regression and image classification.
https://github.com/mrtejas/ml-algos
adaboost bagging-ensemble decision-trees gmm-clustering gradient-boosting hidden-markov-models kernel-density-estimation knn-classification machine-learning mlp-classifier mlp-regressor multinomial-logistic-regression pca-analysis random-forest stacking-ensemble
Last synced: about 1 month ago
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A collection of fundamental Machine Learning Algorithms Implemented from scratch along-with their applications for various ML tasks like clustering, thresholding, data analysis, prediction, regression and image classification.
- Host: GitHub
- URL: https://github.com/mrtejas/ml-algos
- Owner: MrTejas
- License: mit
- Created: 2024-01-23T04:16:53.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-01-23T04:28:55.000Z (over 1 year ago)
- Last Synced: 2024-12-26T11:09:05.093Z (6 months ago)
- Topics: adaboost, bagging-ensemble, decision-trees, gmm-clustering, gradient-boosting, hidden-markov-models, kernel-density-estimation, knn-classification, machine-learning, mlp-classifier, mlp-regressor, multinomial-logistic-regression, pca-analysis, random-forest, stacking-ensemble
- Language: Jupyter Notebook
- Homepage:
- Size: 174 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE