[[Data Science/Data Science/Supervised Learning]]	[[Unsupervised Learning]]	Reinforcement Learning	Ensemble Learning
==Classification==	==Clustering==	==Model-Free Methods==	Bagging
[[Logistic Regression]]	[[K-Means]]	Q-Learning	Boosting
[[SVM]]	[[Hierarchical Clustering]]	DQN	Stacking
[[k-NN]]	[[DBSCAN]]	SARSA
[[Naive Bayes]]	[[GMM]]	Policy Gradient Methods
[[Decision Trees]]
[[Random Forest]]	==Dimensionality Reduction==	==Model-Based Methods==
[[Gradient Boosting]]	[[PCA]]	DDPG
[[Neural Networks]]	[[t-SNE]]	PPO
	[[LDA]]	TRPO
==Regression==	[[ICA]]
[[Linear Regression]]	[[UMAP]]	==Value-Based Methods==
[[Ridge Regression ]]		Monte Carlo Methods
[[Lasso Regression]]	==Association==	Temporal Difference (TD) Learning
[[SVR]]	Apriori Algorithm
[[Decision Tree Regression]]	Eclat Algorithm
[[Random Forest Regression]]
[[Gradient Boosting Regression]]
[[Neural Networks Regression]]