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☆72,342Updated last month
- 100 Days of ML Coding☆47,253Updated last year
- Python Data Science Handbook: full text in Jupyter Notebooks☆44,526Updated 10 months ago
- AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2☆40,801Updated 6 months ago
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,168Updated last year
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.☆25,384Updated last year
- 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.☆20,057Updated last week
- Open standard for machine learning interoperability☆18,979Updated this week
- ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator☆16,617Updated this week
- Your new Mentor for Data Science E-Learning.☆14,075Updated last year
- Parallel computing with task scheduling☆13,204Updated this week
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,420Updated 6 months ago
- Open Machine Learning Course☆10,037Updated 2 weeks ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆9,903Updated last week
- Fast and Accurate ML in 3 Lines of Code☆8,842Updated last week
- My blogs and code for machine learning. http://cnblogs.com/pinard☆8,531Updated last year
- A unified framework for machine learning with time series☆8,394Updated this week
- Automated Machine Learning with scikit-learn☆7,835Updated 4 months ago
- An open source python library for automated feature engineering☆7,446Updated 2 weeks ago
- The "Python Machine Learning (2nd edition)" book code repository and info resource☆7,166Updated 4 years ago
- Fit interpretable models. Explain blackbox machine learning.☆6,499Updated 3 weeks ago
- A scikit-learn compatible neural network library that wraps PyTorch☆6,029Updated 3 weeks ago
- Flower: A Friendly Federated AI Framework☆5,915Updated this week
- [译] scikit-learn（sklearn） 中文文档☆5,180Updated last year
- 🍊 Orange: Interactive data analysis☆5,186Updated this week
- A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.☆4,834Updated last year
- The "Python Machine Learning (3rd edition)" book code repository☆4,813Updated 2 years ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,344Updated 3 months ago
- A curated list of project tutorials for project-based learning.☆4,322Updated last week
- Code Repository for Machine Learning with PyTorch and Scikit-Learn☆4,263Updated 2 months ago
- PipelineAI☆4,174Updated last year
- A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.☆4,127Updated last week
- A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep …☆3,866Updated 2 months ago
- Jupyter notebooks from the scikit-learn video series☆3,710Updated last year
- 🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.☆3,618Updated 10 months ago
- A collection of scientific methods, processes, algorithms, and systems to build stories & models.☆3,562Updated this week
- 🛠 All-in-one web-based IDE specialized for machine learning and data science.☆3,494Updated 9 months ago
- Seamlessly integrate LLMs into scikit-learn.☆3,444Updated last month
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,438Updated last month
- Practice and tutorial-style notebooks covering wide variety of machine learning techniques☆3,215Updated 2 years ago