danhtaihoang / machine-learning

Basic machine learning algorithms

(Supervised) Classification

• Logistic Regression

• Support Vector Machine (SVM)

• Naïve Bayes

• k-nearest neighbours (KNN)

• Decision Tree

• Random Forest

• Extreme Gradient Boosting (XGB)

• Multi-Layer Perceptrons (MLP)

(Unsupervised) Clustering

• PCA

• TSNE

• Kmeans

• UMAP

Regression

• Linear Regression

• Multi-Layer Perceptrons (MLP)