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☆70,695Updated 2 weeks ago
- 100 Days of ML Coding☆46,081Updated last year
- Python Data Science Handbook: full text in Jupyter Notebooks☆43,644Updated 6 months ago
- AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2☆39,903Updated 2 months ago
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆27,724Updated 9 months ago
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.☆25,252Updated last year
- 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.☆18,739Updated last week
- Open standard for machine learning interoperability☆18,257Updated this week
- ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator☆15,302Updated this week
- Your new Mentor for Data Science E-Learning.☆14,012Updated 10 months ago
- Parallel computing with task scheduling☆12,851Updated this week
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,332Updated last month
- Open Machine Learning Course☆9,871Updated last week
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆9,806Updated 5 months ago
- My blogs and code for machine learning. http://cnblogs.com/pinard☆8,408Updated 11 months ago
- Fast and Accurate ML in 3 Lines of Code☆8,262Updated this week
- A unified framework for machine learning with time series☆8,100Updated this week
- Automated Machine Learning with scikit-learn☆7,686Updated last month
- An open source python library for automated feature engineering☆7,334Updated this week
- The "Python Machine Learning (2nd edition)" book code repository and info resource☆7,144Updated 4 years ago
- Fit interpretable models. Explain blackbox machine learning.☆6,350Updated this week
- A scikit-learn compatible neural network library that wraps PyTorch☆5,939Updated last week
- Flower: A Friendly Federated AI Framework☆5,335Updated this week
- [译] scikit-learn（sklearn） 中文文档☆5,139Updated last year
- 🍊 Orange: Interactive data analysis☆4,954Updated last week
- A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.☆4,700Updated last year
- The "Python Machine Learning (3rd edition)" book code repository☆4,679Updated last year
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,306Updated 3 months ago
- PipelineAI☆4,171Updated 9 months ago
- A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.☆4,019Updated 3 weeks ago
- A curated list of project tutorials for project-based learning.☆3,900Updated last week
- Code Repository for Machine Learning with PyTorch and Scikit-Learn☆3,831Updated this week
- A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep …☆3,808Updated 6 months ago
- Jupyter notebooks from the scikit-learn video series☆3,689Updated 10 months ago
- A collection of scientific methods, processes, algorithms, and systems to build stories & models.☆3,547Updated last week
- 🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.☆3,498Updated 6 months ago
- 🛠 All-in-one web-based IDE specialized for machine learning and data science.☆3,460Updated 5 months ago
- Seamlessly integrate LLMs into scikit-learn.☆3,401Updated last week
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,372Updated last week
- Practice and tutorial-style notebooks covering wide variety of machine learning techniques☆3,144Updated last year