https://github.com/mardavsj/machine-learning-algorithms

It consists of basic concepts of Machine-Learning with its algorithms.
https://github.com/mardavsj/machine-learning-algorithms

algorithms machine-learning python reinforcement-learning-algorithms supervised-learning-algorithms unsupervised-learning-algorithms

Last synced: 2 months ago
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It consists of basic concepts of Machine-Learning with its algorithms.

• Host: GitHub
• URL: https://github.com/mardavsj/machine-learning-algorithms
• Owner: mardavsj
• License: mit
• Created: 2023-03-01T13:38:28.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2024-03-07T17:07:04.000Z (over 1 year ago)
• Last Synced: 2024-03-07T18:27:33.846Z (over 1 year ago)
• Topics: algorithms, machine-learning, python, reinforcement-learning-algorithms, supervised-learning-algorithms, unsupervised-learning-algorithms
• Language: Python
• Homepage:
• Size: 46.9 KB
• Stars: 4
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Shortcuts !

### Guide to find your favorite algorithm ✌️

- ### ALGORITHMS :

    - #### [SUPERVISED](https://github.com/mardavsj/Machine-Learning-Algorithms/tree/main/Algorithms/Supervised) :

        - #### [Classification](https://github.com/mardavsj/Machine-Learning-Algorithms/tree/main/Algorithms/Supervised/Classification) :

            - [Decision Tree](https://github.com/mardavsj/Machine-Learning-Algorithms/tree/main/Algorithms/Supervised/Classification/decision-tree) (Categorical variable, Continous variable)

            - [KNN](https://github.com/mardavsj/Machine-Learning-Algorithms/tree/main/Algorithms/Supervised/Classification/KNN)

            - [Logistic Regression](https://github.com/mardavsj/Machine-Learning-Algorithms/tree/main/Algorithms/Supervised/Classification/logistic-regression) (Binary, Multinomial, Ordinal)

            - [Naive Bayes](https://github.com/mardavsj/Machine-Learning-Algorithms/tree/main/Algorithms/Supervised/Classification/naive-bayes)

        - #### [Regression](https://github.com/mardavsj/Machine-Learning-Algorithms/tree/main/Algorithms/Supervised/Regression) :

            - [Linear Regression](https://github.com/mardavsj/Machine-Learning-Algorithms/tree/main/Algorithms/Supervised/Regression/linear-regression) (Single/Simple, Multi/Multiple)

            - [Polynomial Regression](https://github.com/mardavsj/Machine-Learning-Algorithms/tree/main/Algorithms/Supervised/Regression/polynomial-regression)

            - [Ridge Regression](https://github.com/mardavsj/Machine-Learning-Algorithms/tree/main/Algorithms/Supervised/Regression/ridge-regression)

              

    - #### [UNSUPERVISED](https://github.com/mardavsj/Machine-Learning-Algorithms/tree/main/Algorithms/Unsupervised) :

        - #### [Clustering](https://github.com/mardavsj/Machine-Learning-Algorithms/tree/main/Algorithms/Unsupervised/Clustering) :

            - [K-means](https://github.com/mardavsj/Machine-Learning-Algorithms/tree/main/Algorithms/Unsupervised/Clustering/K-means)

            - [Mean Shift](https://github.com/mardavsj/Machine-Learning-Algorithms/tree/main/Algorithms/Unsupervised/Clustering/Mean%20Shift)

        - #### [Pattern Search](https://github.com/mardavsj/Machine-Learning-Algorithms/tree/main/Algorithms/Unsupervised/Pattern%20Search) :

            - [Euclat](https://github.com/mardavsj/Machine-Learning-Algorithms/tree/main/Algorithms/Unsupervised/Pattern%20Search/Euclat)

            - [FP Growth](https://github.com/mardavsj/Machine-Learning-Algorithms/tree/main/Algorithms/Unsupervised/Pattern%20Search/FP%20Growth)

              

    - #### [REINFORCEMENT](https://github.com/mardavsj/Machine-Learning-Algorithms/tree/main/Algorithms/Reinforcement) :

        - #### [Deep Q Network](https://github.com/mardavsj/Machine-Learning-Algorithms/tree/main/Algorithms/Reinforcement/Deep%20Q%20Network)

        - #### [Genetic Algorithm](https://github.com/mardavsj/Machine-Learning-Algorithms/tree/main/Algorithms/Reinforcement/Genetic%20Algorithm)

        - #### [Q Learning](https://github.com/mardavsj/Machine-Learning-Algorithms/tree/main/Algorithms/Reinforcement/Q%20Learning)

### Happy coding !

# How to contribute?

  1. Fork the repository

  2. Do the desired changes (add/delete/modify)

  3. Make a pull request

## Don't forget to show your love by ⭐ing this repository.