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

To-do List

• 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

License

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