# Machine learning¶

## Calibration and selection¶

How to tune a machine learning model and select the best one.

Calibration of a polynomial regression

Calibration of a polynomial regression

Machine learning algorithm selection example

Machine learning algorithm selection example

## Classification¶

How to create a classification model.

Classification API

K nearest neighbors classification

K nearest neighbors classification

Random forest classification

## Clustering¶

How to create a clustering model.

## Dimension reduction¶

How to reduce the dimension of a high-dimensional variable.

KL-SVD on Burgers equation

Mixture of experts with PCA on Burgers dataset

Mixture of experts with PCA on Burgers dataset

PCA on Burgers equation

## Quality¶

How to assess the quality of a machine learning model.

MSE example - test-train split

MSE example - test-train split

Quality measure for surrogate model comparison

Quality measure for surrogate model comparison

## Regression¶

How to create a regression model.

API

Advanced mixture of experts

GP regression

Linear regression

Mixture of experts

PCE regression

Polynomial regression

RBF regression

Random forest regression

Save and Load

## Data transformation¶

How to transform the data before training.

Scaler example

Transformer pipeline example