Scikit Learn

是什么

Identifying which category an object belongs to

功能

• Classification—: Identifying which category an object belongs to. Applications include spam detection and image recognition. Algorithms used include gradient boosting, nearest neighbors, random forest, logistic regression, and more.
• Regression—: Predicting a continuous-valued attribute associated with an object. Applications include drug response and stock prices. Algorithms used include gradient boosting, nearest neighbors, random forest, ridge, and more.
• Clustering—: Automatic grouping of similar objects into sets. Applications include customer segmentation and grouping experiment outcomes. Algorithms used include k-Means, HDBSCAN, hierarchical clustering, and more.
• Dimensionality reduction—: Reducing the number of random variables to consider. Applications include visualization and increased efficiency. Algorithms used include PCA, feature selection, non-negative matrix factorization, and more.
• Model selection—: Comparing, validating and choosing parameters and models. Applications include improved accuracy via parameter tuning. Algorithms used include grid search, cross validation, metrics, and more.
• Preprocessing—: Feature extraction and normalization. Applications include transforming input data such as text for use with machine learning algorithms. Algorithms used include preprocessing, feature extraction, and more.

定价

定价模式: Free