📄List of Machine Learning Models

Machine learning models can be categories into supervised and unsupervised based on their learning mechanism. Following is the list of most commonly used machine learning models.

•  Supervised
  • Classification
    • Decision Trees
    • K-Nearest Neighbors (KNN)
    • Logistic Regression
    • Naive Bayes
    • Neural Networks (NNs)
    • Random Forest
    • Support Vector Machines (SVM)
  • Regression
    • Lasso Regression
    • Linear Regression
    • Polynomial Regression
    • Random Forest Regression
    • Ridge Regression
    • Support Vector Regression (SVR)
• Unsupervised
  •  Clustering
    • Anomaly Detection
    • Density-Based Spatial Clustering of Applications (DBSCAN)
    • Hierarchical Clustering
    • K-Means Clustering
  • Dimensionality Reduction
    • Locally Linear Embedding (LLE)
    • Principal Component Analysis (PCA)
    • Singular Value Decomposition (SVD)
  • Reinforcement Learning
    • Deep Q-Learning
    • Policy Gradient
    • Proximal Policy Optimization (PPO)
    • Q-Learning