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Examples based on real world datasets — scikit-learn 1.5.2 documentation

Examples based on real world datasets#

Applications to real world problems with some medium sized datasets or interactive user interface.

Compressive sensing: tomography reconstruction with L1 prior (Lasso)

Compressive sensing: tomography reconstruction with L1 prior (Lasso)

Faces recognition example using eigenfaces and SVMs

Faces recognition example using eigenfaces and SVMs

Image denoising using kernel PCA

Image denoising using kernel PCA

Lagged features for time series forecasting

Lagged features for time series forecasting

Model Complexity Influence

Model Complexity Influence

Out-of-core classification of text documents

Out-of-core classification of text documents

Outlier detection on a real data set

Outlier detection on a real data set

Prediction Latency

Prediction Latency

Species distribution modeling

Species distribution modeling

Time-related feature engineering

Time-related feature engineering

Topic extraction with Non-negative Matrix Factorization and Latent Dirichlet Allocation

Topic extraction with Non-negative Matrix Factorization and Latent Dirichlet Allocation

Visualizing the stock market structure

Visualizing the stock market structure

Wikipedia principal eigenvector

Wikipedia principal eigenvector