Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

Feature engineering and selection open-source Python library compatible with sklearn.

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

:book: [译] scikit-learn（sklearn） 中文文档

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc

A tool for compiling trained SKLearn models into other representations (such as SQL, Sympy or Excel formulas)