README.md

Machine learning

Linear models

• Polynomial regression
• Energy demand prediction
• Gaussian distribution
• Maximum likehood estimation
• Ridge regression
• [] Linear regression
• [] Logistic regression

Bayesian learning

• [] Bayesian linear regression with conjugate priors

Dimensionality reduction

• [] Principal component analysis
• [] Manifold learning

Support vector machines

• [] SVM regression
• [] SVM classification

Nearest neighbors

• [] K nearest neighbors

Kernel methods

• [] Kernel regression
• [] Kernel SVM

Graphical methods

• [] Bayesian networks

Gaussian processes

Decision trees

• [] Desicion trees

Random forests

• [] Random forest

Boosting

Bagging

Genetic algorithms

Anomaly detection