- telecomparistech "The great benefit of scikit-learn is its fast learning curve [...]" aweber "It allows us to do AWesome stuff we would not otherwise accomplish."
- scikit-learn is a Python module integrating classic machine learning algorithms in the tightly-knit world of scientific Python packages (numpy, scipy, matplotlib).
- Python Scikit-learn allows users to perform various Machine Learning tasks and provides a means to incorporate Machine Learning in Python.
- scikit-learn. scikit-learn. Open source library for machine learning in Python. Visit Website →.
- The project is currently maintained by a team of volunteers. Note: scikit-learn was previously referred to as scikits.learn .
- Version:1.5.1 · 3 July 2024
- License:BSD License (new BSD)
pip install scikit-learn - scikit-learn will be participating in the sprints session of #ScipyLatam2022 in Salta, Argentina, led by our Team Member.
- Python scikit-learn Toolkit built on top of NumPy, SciPy, and Matplotlib. This choosing means that it fits well into our daily data pipeline.
- 2 Implementation. 3 Version history. 4 scikit-learn alternatives. 5 References. 6 External links. Toggle the table of contents. scikit-learn. 16 languages.
- Scikit-learn provides a wide range of machine learning algorithms that have a unified/consistent interface for fitting, predicting accuracy, etc.
- Learn how to use Python's scikit-learn library to perform effective machine learning: https://github.com/justmarkham/scikit-learn-videos.