What are the dependencies of sklearn?

Jan 29, 2025 ... In this article we will learn essential features and techniques for building machine learning models using Scikit-learn. Sklearn (scikit-learn) is a Python library that provides a wide range of unsupervised and supervised machine learning algorithms. Oct 29, 2024 ... Scikit-learn is probably the most useful library for machine learning in Python. The sklearn library contains a lot of efficient tools for ... Feb 28, 2022 ... As shown in the 'Simple Linear Regression' lesson, the LinearRegression class should be imported from the sklearn.linear_model module. Hope this ... MLPrimitives + Scikit-learn RandomForestClassifier¶. In this example use ... sklearn.ensemble.RandomForestClassifier': { 'n_jobs': -1, 'n_estimators ... obj : sklearn predictor. A scikit-learn predictor, eg sklearn.ensemble.ExtraTreesClassifier. predictor_scoring_fun : function, optional. A function which ... Scikit-learn is an open source data analysis library, and the gold standard for Machine Learning (ML) in the Python ecosystem. · For computers to learn without ... Apr 26, 2024 ... Scikit-learn is a collection of tools that allow you to quickly build and deploy machine learning models in Python. Repository files navigation ... scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license. The ... Aug 14, 2022 ... This algorithm is used to predict categorical variables using independent variables which are continuous. It identifies which of the target ...