Simple-ML

Simple and minimal Python implementation of Machine Learning algorithms and models.

Getting Started

You can clone this repository to your computer.

git clone https://github.com/pystander/Simple-ML

Use pip to install the required external packages in requirements.

pip install -r requirements.txt

Supervised Learning
- Linear Regression
- Logistic Regression
- Naive Bayes
- K-Nearest Neighbors (KNN)
- Perceptron
- Linear Discriminant Analysis (LDA)
- Decision Trees
- Random Forest
- Support Vector Machines (SVM)
- Gradient Boosting
Unsupervised Learning
- K-Means Clustering
- Principal Component Analysis (PCA)
- Hierarchical Clustering
- Autoencoder
Reinforcement Learning
- Q-Learning
- SARSA

Distributed under the GNU GPL-3.0 License. See LICENSE for more information.