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  1. scikit-learn: machine learning in Python — scikit-learn 1.7.2 …

    scikit-learn Machine Learning in Python Getting Started Release Highlights for 1.7

  2. Installing scikit-learn — scikit-learn 1.7.2 documentation

    Install the 64-bit version of Python 3, for instance from the official website. Now create a virtual environment (venv) and install scikit-learn. Note that the virtual environment is optional but …

  3. Getting Started — scikit-learn 1.7.2 documentation

    Scikit-learn is an open source machine learning library that supports supervised and unsupervised learning. It also provides various tools for model fitting, data preprocessing, model selection, …

  4. User Guide — scikit-learn 1.7.2 documentation

    Jan 1, 2010 · 9. Computing with scikit-learn 9.1. Strategies to scale computationally: bigger data 9.1.1. Scaling with instances using out-of-core learning 9.2. Computational Performance 9.2.1. …

  5. 1. Supervised learning — scikit-learn 1.7.2 documentation

    Jan 1, 2010 · Linear Models- Ordinary Least Squares, Ridge regression and classification, Lasso, Multi-task Lasso, Elastic-Net, Multi-task Elastic-Net, Least Angle Regression, LARS Lasso, …

  6. Examples — scikit-learn 1.7.2 documentation

    This is the gallery of examples that showcase how scikit-learn can be used. Some examples demonstrate the use of the API in general and some demonstrate specific applications in …

  7. API Reference — scikit-learn 1.7.2 documentation

    This is the class and function reference of scikit-learn. Please refer to the full user guide for further details, as the raw specifications of classes and functions may not be enough to give full …

  8. PCA — scikit-learn 1.7.2 documentation

    PCA # class sklearn.decomposition.PCA(n_components=None, *, copy=True, whiten=False, svd_solver='auto', tol=0.0, iterated_power='auto', n_oversamples=10, …

  9. 3.1. Cross-validation: evaluating estimator performance — scikit …

    In scikit-learn a random split into training and test sets can be quickly computed with the train_test_split helper function. Let’s load the iris data set to fit a linear support vector machine …

  10. 1.10. Decision Trees — scikit-learn 1.7.2 documentation

    If you use the conda package manager, the graphviz binaries and the python package can be installed with conda install python-graphviz. Alternatively binaries for graphviz can be …