A - Z
Super- and Unsupervised ML Algorithms
A list of common supervised and unsupervised ML algorti
Supervised Learning Algorithms
- Linear regression
- Logistic regression
- Decision trees
- Support vector machines (SVMs)
- k-nearest neighbors (KNN)
- Naive Bayes
- Random forests
- Gradient boosting machines (GBMs)
- eXtreme Gradient Boosting (XGBoost)
Unsupervised Learning Algorithms
- K-means clustering
- Hierarchical clustering
- Gaussian mixture models (GMMs)
- Principal component analysis (PCA)
- t-distributed stochastic neighbor embedding (t-SNE)
- Anomaly detection algorithms
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