https://github.com/manik2000/ml-algorithms

Numpy based own implementations of some of ML algorithms.
https://github.com/manik2000/ml-algorithms

machine-learning-algorithms numpy own-implementation

Last synced: 22 days ago
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Numpy based own implementations of some of ML algorithms.

• Host: GitHub
• URL: https://github.com/manik2000/ml-algorithms
• Owner: Manik2000
• License: mit
• Created: 2023-11-15T07:26:23.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-01-15T09:53:53.000Z (about 1 year ago)
• Last Synced: 2024-12-02T18:12:34.362Z (3 months ago)
• Topics: machine-learning-algorithms, numpy, own-implementation
• Language: Jupyter Notebook
• Homepage:
• Size: 16.5 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# ML-algorithms

## About

Python (`numpy`) implementations of various ML algorithms from different subfields like supervised learning, dimensionality reduction, clustering.

The main purpose of the project is to gain deeper insight into the workings of ML algorithms, going beyond simply performing `from sklearn ...`.

## Algorithms

### Supervised learning

* [Dense neural network](https://github.com/Manik2000/ML-algorithms/blob/main/mlalgo/deep_learing/neural_network.py),

* [Linear regression](https://github.com/Manik2000/ML-algorithms/blob/main/mlalgo/supervised/linear_regression.py),

* [Polynomial regression](https://github.com/Manik2000/ML-algorithms/blob/main/mlalgo/supervised/polynomial_regression.py),

* [KNN classifier](https://github.com/Manik2000/ML-algorithms/blob/main/mlalgo/supervised/k_neighbors.py),

### Dimensionality reduction

* [Principal Components Analysis (PCA)](https://github.com/Manik2000/ML-algorithms/blob/main/mlalgo/dimensionality_reduction/pca.py),

### Clustering

* [K-means](https://github.com/Manik2000/ML-algorithms/blob/main/mlalgo/clustering/k_means.py).

## ToDo

* T-SNE,

* Decision Trees,

* LDA,

* SVM,

* …