Machine Learning Algorithms 🚀

A curated list of all (almost) machine learning and deep learning algorithms grouped by category. This repository is meant to help understand the various machine learning algorithms (Inspired by awesome-machine-learning). You can star this repo for future reference :)

Contributing

Please see CONTRIBUTING for more details on how to contribute.

List of Algorithms

Regression Algorithms
Instance-Based Algorithms
Clustering Algorithms
Bayesian Algorithms
Decision Tree Algorithms
Regularization Algorithms
Association Rule Learning Algorithms
- Apriori algorithm
- Eclat algorithm
Ensemble Algorithms
Artificial Neural Network Algorithms
- Perceptron
- Multilayer Perceptrons (MLP)
- Back-Propagation
- Stochastic Gradient Descent
- Hopfield Network
- Radial Basis Function Network (RBFN)
Deep Learning Neural Network Algorithms
- Convolutional Neural Network (CNN)
- Recurrent Neural Networks (RNNs)
- Long Short-Term Memory Networks (LSTMs)
- Stacked Auto-Encoders
- Deep Boltzmann Machine (DBM)
- Deep Belief Networks (DBN)
- Generative Adversarial Networks (GANs)
Dimensionality Reduction Algorithms

Credits

Articles from machine learning Mastery. (Inspired from)
Articles from towardsdatascience. (Credit goes to the respective authors)
Articles from medium. (Credit goes to the respective authors)
Articles from wikipedia.
Articles from kdnuggets.
Articles from probabilisticworld.
Articles from digitalvidya.
Articles from analyticsvidhya.
Videos from youtube.
Articles from opengenus.