Frameworks
Scikit-learn
Provides a machine learning library for the Python programming language, supporting various algorithm implementations and data preprocessing tools.
【Application Scenarios】
- Work scenarios: Spam detection, image recognition, Drug response, stock prices, Customer segmentation, grouping experiment outcomes, Visualization, increased efficiency, Improved accuracy via parameter tuning, Transforming input data such as text for use with machine learning algorithms.
【Target Users】
- Data scientists
- Machine learning engineers
- Researchers
- Students
【Core Features】
- Classification
- Regression
- Clustering
- Dimensionality reduction
- Model selection
- Preprocessing
【Is It Free】
- Yes, open source and commercially available - BSD license
【Community Ecosystem】
- GitHub
- Mailing list
- Blog
- Bluesky
- Mastodon
- YouTube
- TikTok
- Discord
【Summary】
- scikit-learn is a machine learning library implemented in Python, providing simple and efficient tools for data analysis, suitable for a wide range of user groups and various application scenarios. It is built on NumPy, SciPy, and matplotlib, adopting the BSD license, open source and commercially available. It has a vibrant community ecosystem and rich learning resources.
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