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Machine Learning Models
Elaborado por Juan Carlos Bustamante Urbina del Tec de Monterrey y por de
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Machine Learning Models.png
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Machine Learning Models.mmap
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Supervised Learning

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Regression

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Linear Regression
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Logistic Regression
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Polynomial Regression
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Ridge/Lasso Regression

Classification

Naive Bayes
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Decision Trees
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Support Vector Machine (SVM)
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k-nearest neighbors algorithm (K-NN)

Unsupervised Learning

Clustering
Associaton Rule Learning
Dimensionality Reduction

Reinforced Learning

Q-Learning
DQN
SARSA
Genetic Algorithm
A3C

Neural Networks & Deep Learning

Convolutional Neural Networks (CNN)
Recurrrent Neural Networks (RNN)
Generative Adversal Networks (GAN)
Autoencoders
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Ensemble Learning

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Stacking
Bagging (Random Forest)

Boosting

XGBoost
⁠ LightGBM
CatBoost
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AdaBoost
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