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4 results for Scikit-Learn

Machine Learning - Gaussian Mixture Model

An introduction to Gaussian Mixture Models (GMM): NIST definition, strong modelling assumptions, and a real-world classification example using the Breast Cancer Wisconsin dataset.

machine-learning gmm gaussian-mixture-model clustering scikit-learn Created Sun, 17 May 2026 00:00:00 +0000
Statistics - 2D Regression

An introduction to 2D (simple linear) regression: NIST definition, OLS estimators, and three real-life examples covering advertising spend, education vs. wage, and California housing prices.

statistics regression linear-regression ols scikit-learn Created Sun, 17 May 2026 00:00:00 +0000
Statistics - Clustering

An introduction to clustering: definition, when it is useful, and real-life examples using K-Means, Hierarchical, DBSCAN, and Gaussian Mixture Models.

statistics clustering k-means dbscan hierarchical Created Sun, 17 May 2026 00:00:00 +0000
Statistics - Principal Component Analysis (PCA)

An introduction to Principal Component Analysis (PCA): definition, when it is useful, and a real-life example using the Iris dataset.

statistics pca dimensionality-reduction scikit-learn iris Created Sun, 17 May 2026 00:00:00 +0000