https://github.com/crispengari/ml-algorithms
implementation of machine learning algorithms such as k-means, knn, svm from scratch.
https://github.com/crispengari/ml-algorithms
algorithms classification clustering knn machine-learning machine-learning-algorithms python regression svm
Last synced: about 2 months ago
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implementation of machine learning algorithms such as k-means, knn, svm from scratch.
- Host: GitHub
- URL: https://github.com/crispengari/ml-algorithms
- Owner: CrispenGari
- License: apache-2.0
- Created: 2021-11-23T13:01:57.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2024-11-18T09:27:22.000Z (11 months ago)
- Last Synced: 2024-11-18T10:51:59.218Z (11 months ago)
- Topics: algorithms, classification, clustering, knn, machine-learning, machine-learning-algorithms, python, regression, svm
- Language: Jupyter Notebook
- Homepage:
- Size: 1.3 MB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
### ml-algorithms
Implementation of machine learning algorithms from scratch using python modules to solve the basic three machine learning problems:
1. Regression
2. Clustering
3. Classification
### Notebooks
1. [Linear Regression](https://github.com/CrispenGari/ml-algorithms/blob/main/01_linear_regression/01_Linear_Regression.ipynb)
2. [Logistic Regression](https://github.com/CrispenGari/ml-algorithms/blob/main/02_logistic_regression/01_Logistic_Regression.ipynb)
3. [K-Nearest Neighbor (KNN)](https://github.com/CrispenGari/ml-algorithms/blob/main/03_knn/01_KNN.ipynb)
4. [Support Vector Machines (SVM)](https://github.com/CrispenGari/ml-algorithms/blob/main/04_svm/01_SVM.ipynb)
5. [Random Forest](https://github.com/CrispenGari/ml-algorithms/blob/main/05_randomforest/01_Random_Forest.ipynb)
6. [Naive Bayes](https://github.com/CrispenGari/ml-algorithms/blob/main/06_naivebayes/01_Naive_Bayes.ipynb)
7. [KMeans]()
8. [Neural Network]()
9. [Decision Tree](https://github.com/CrispenGari/ml-algorithms/blob/main/09_decisiontree/01_Decision_Tree.ipynb)
10. [Peceptron](https://github.com/CrispenGari/ml-algorithms/blob/main/10_perceptron/01_Simple_Percpectron.ipynb)
11. [PCA]()
12. [AdaBoost]()