{"id":18344390,"url":"https://github.com/veb-101/machine-learning-algorithms","last_synced_at":"2025-08-27T15:08:24.917Z","repository":{"id":50414040,"uuid":"211699334","full_name":"veb-101/Machine-Learning-Algorithms","owner":"veb-101","description":"One notebook to learn it all - Algorithms from scratch","archived":false,"fork":false,"pushed_at":"2020-05-26T15:06:41.000Z","size":2834,"stargazers_count":13,"open_issues_count":0,"forks_count":10,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-04-06T07:37:12.712Z","etag":null,"topics":["matplotlib","numpy","pandas","python-3-7","scikit-learn","scipy","seaborn"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","readme":"# Machine Learning Algorithms\n\n[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/veb-101/Machine-Learning-Algorithms/master) [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/veb-101/Machine-Learning-Algorithms/blob/master/) [![contributions welcome](https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat)](https://github.com/veb-101/Machine-Learning-Algorithms/issues) [![PRs](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](https://github.com/veb-101/Machine-Learning-Algorithms/pulls)\n\n[![Try on repl.it](https://repl-badge.jajoosam.repl.co/try.png)](https://repl.it/repls/folder/machine%20learning%20algorithms?ref=button)\n\n---\n\n#### Numpy implementation of some basic machine learning algorithms\n\n\u003cimg src=\"logo.png\" alt='Image' height=\"400\" width=\"2000\"/\u003e\n\n---\n\n##### Run Online\n\n| Sr. No. | Algorithm                     | View                                                                                                                                                              | Python File                                                          | Colab Notebook                                                                                                                                                                                                                           |\n| ------- | ----------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| 1.a     | KNN - Classification          | [notebook](https://nbviewer.jupyter.org/github/veb-101/Machine-Learning-Algorithms/blob/master/K-Nearest%20Neigbors/KNN-Classifier.ipynb)                         | [.py](https://repl.it/@VaibhavSingh4/1a-k-NN-classification)         | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/veb-101/Machine-Learning-Algorithms/blob/master/K-Nearest%20Neigbors/KNN-Classifier.ipynb)                         |\n| 1.b     | KNN - Regression              | [notebook](https://nbviewer.jupyter.org/github/veb-101/Machine-Learning-Algorithms/blob/master/K-Nearest%20Neigbors/KNN-Regression.ipynb)                         | [.py](https://repl.it/@VaibhavSingh4/1b-k-NN-Regression)             | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/veb-101/Machine-Learning-Algorithms/blob/master/K-Nearest%20Neigbors/KNN-Regression.ipynb)                         |\n| 1.c     | KNN - Weighted Classification | [notebook](https://nbviewer.jupyter.org/github/veb-101/Machine-Learning-Algorithms/blob/master/K-Nearest%20Neigbors/KNN_weighted_classification.ipynb)            | [.py](https://repl.it/@VaibhavSingh4/1c-KNN-weighted-classification) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/veb-101/Machine-Learning-Algorithms/blob/master/K-Nearest%20Neigbors/KNN_weighted_classification.ipynb)            |\n| 2       | Linear Regression             | [notebook](https://nbviewer.jupyter.org/github/veb-101/Machine-Learning-Algorithms/blob/master/Linear%20Regression/linear_regression.ipynb)                       |                                                                      | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/veb-101/Machine-Learning-Algorithms/blob/master/Linear%20Regression/linear_regression.ipynb)                       |\n| 3       | Logistic Regression           | [notebook](https://nbviewer.jupyter.org/github/veb-101/Machine-Learning-Algorithms/blob/master/Logistic%20Regression/logistic%20regression.ipynb)                 | [.py](https/repl.it/@VaibhavSingh4/Logistic-Regression)              | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/veb-101/Machine-Learning-Algorithms/blob/master/Logistic%20Regression/logistic%20regression.ipynb)                 |\n| 4       | Decision Trees                | [notebook](https://nbviewer.jupyter.org/github/veb-101/Machine-Learning-Algorithms/blob/master/Decision%20Trees/decision%20tree.ipynb)                            | [.py](https://repl.it/@VaibhavSingh4/decision-tree)                  | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/veb-101/Machine-Learning-Algorithms/blob/master/Decision%20Trees/decision%20tree.ipynb)                            |\n| 5       | Naive Bayes                   | [notebook](https://nbviewer.jupyter.org/github/veb-101/Machine-Learning-Algorithms/blob/master/Naive%20Bayes/Naive%20Bayes.ipynb)                                 |                                                                      | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/veb-101/Machine-Learning-Algorithms/blob/master/Naive%20Bayes/Naive%20Bayes.ipynb)                                 |\n| 6       | Random Forest                 | [notebook](https://nbviewer.jupyter.org/github/veb-101/Machine-Learning-Algorithms/blob/master/Random%20Forest/random_forest.ipynb)                               |                                                                      | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/veb-101/Machine-Learning-Algorithms/blob/master/Random%20Forest/random_forest.ipynb)                               |\n| 7       | AdaBoost                      | [notebook](https://nbviewer.jupyter.org/github/veb-101/Machine-Learning-Algorithms/blob/master/Boosting%20-%20AdaBoost/adaboost.ipynb)                            |                                                                      | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/veb-101/Machine-Learning-Algorithms/blob/master/Boosting%20-%20AdaBoost/adaboost.ipynb)                            |\n| 8       | K-means Clustering            | [notebook](https://nbviewer.jupyter.org/github/veb-101/Machine-Learning-Algorithms/blob/master/K-means/K_means.ipynb)                                             | [.py](https://repl.it/@VaibhavSingh4/k-means)                        | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/veb-101/Machine-Learning-Algorithms/blob/master/K-means/K_means.ipynb)                                             |\n| 9       | PCA                           | [notebook](https://nbviewer.jupyter.org/github/veb-101/Machine-Learning-Algorithms/blob/master/Principal%20Component%20Analysis/dimensionality%20reduction.ipynb) |                                                                      | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/veb-101/Machine-Learning-Algorithms/blob/master/Principal%20Component%20Analysis/dimensionality%20reduction.ipynb) |\n| 10      | Apriori Algorithm             |                                                                                                                                                                   | [.py](https://repl.it/@VaibhavSingh4/Apriori-Algorithm)              |                                                                                                                                                                                                                                          |","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fveb-101%2Fmachine-learning-algorithms","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fveb-101%2Fmachine-learning-algorithms","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fveb-101%2Fmachine-learning-algorithms/lists"}