Scikit-learn is a robust, open-source machine learning library for Python, designed to simplify the implementation of a wide range of machine learning algorithms with minimal coding effort. It provides simple and efficient tools for data mining and data analysis, built atop NumPy, SciPy, and Matplotlib. The library covers a variety of supervised and unsupervised learning algorithms, including regression, classification, clustering, and dimensionality reduction. Its straightforward syntax promotes ease of use for both beginners and experienced developers, allowing for rapid prototyping and deployment of machine learning models. Scikit-learn also includes utilities for model selection, validation, and optimization, such as GridSearchCV for hyperparameter tuning. Its integration within the broader Python data ecosystem makes it an ideal choice for application developers looking to incorporate machine learning functionalities into their projects.
View the most prominent open source scikit-learn projects in the list below. Click on a specific project to view its alternative or complementary packages. Make comparisons and find the best package for your app.
- 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all☆73,283Updated 2 weeks ago
- 100 Days of ML Coding☆47,513Updated last year
- Python Data Science Handbook: full text in Jupyter Notebooks☆44,799Updated last year
- AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2☆41,042Updated 7 months ago
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,308Updated last year
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.☆25,462Updated last year
- 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.☆21,325Updated this week
- Open standard for machine learning interoperability☆19,169Updated this week
- ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator☆17,022Updated this week
- Your new Mentor for Data Science E-Learning.☆14,090Updated last year
- Parallel computing with task scheduling☆13,291Updated last week
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,445Updated 7 months ago
- Open Machine Learning Course☆10,098Updated last month
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆9,927Updated last month
- Fast and Accurate ML in 3 Lines of Code☆8,979Updated this week
- My blogs and code for machine learning. http://cnblogs.com/pinard☆8,553Updated last year
- A unified framework for machine learning with time series☆9,117Updated this week
- Automated Machine Learning with scikit-learn☆7,866Updated this week
- An open source python library for automated feature engineering☆7,472Updated 2 weeks ago
- The "Python Machine Learning (2nd edition)" book code repository and info resource☆7,174Updated 4 years ago
- Fit interpretable models. Explain blackbox machine learning.☆6,591Updated this week
- A scikit-learn compatible neural network library that wraps PyTorch☆6,063Updated this week
- Flower: A Friendly Federated AI Framework☆6,044Updated this week
- [译] scikit-learn（sklearn） 中文文档☆5,189Updated last year
- 🍊 Orange: Interactive data analysis☆5,237Updated 2 weeks ago
- A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.☆4,858Updated last year
- The "Python Machine Learning (3rd edition)" book code repository☆4,832Updated 2 years ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,352Updated 4 months ago
- A curated list of project tutorials for project-based learning.☆4,401Updated last month
- Code Repository for Machine Learning with PyTorch and Scikit-Learn☆4,362Updated 3 months ago
- PipelineAI☆4,170Updated last year
- A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.☆4,158Updated last month
- A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep …☆3,878Updated 3 months ago
- Jupyter notebooks from the scikit-learn video series☆3,723Updated last year
- 🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.☆3,638Updated last year
- A collection of scientific methods, processes, algorithms, and systems to build stories & models.☆3,571Updated this week
- 🛠 All-in-one web-based IDE specialized for machine learning and data science.☆3,508Updated 11 months ago
- Seamlessly integrate LLMs into scikit-learn.☆3,447Updated last month
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,447Updated 2 months ago
- Practice and tutorial-style notebooks covering wide variety of machine learning techniques☆3,227Updated 2 years ago