Table of Contents
All algorithms implemented with gradient descent (where applicable).
- Perceptron
- Linear regression
- Ridge regression
- Logisitic regression
- Hard-margin SVM classifier
- Soft-margin SVM classifier
- Kernel SVM classifier
- SVM regressor
- Decision tree classifier
- Decision tree regressor
- Bagging
- Adaboost
- Multilayer perceptron (neural network):
- Batch Gradient Descent (math)
- Minibatch Gradient Descent
- Stochastic Gradient Descent
- Momentum Optimizer
- RMSProp Optimizer
- ADAM Optimizer
- Binary classification (dataset)
- Multi-class classification (dataset)
- 2d regression (dataset)
- nd regression (dataset)
pip install ml-algosml-algos is distributed under the terms of the MIT license.