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☆79,435Updated last week
- 100 Days of ML Coding☆48,887Updated last year
- Python Data Science Handbook: full text in Jupyter Notebooks☆46,211Updated last year
- AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2☆41,809Updated last year
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,717Updated last year
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.☆25,793Updated 2 years ago
- 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.☆22,868Updated last week
- Open standard for machine learning interoperability☆19,951Updated this week
- ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator☆18,575Updated this week
- Your new Mentor for Data Science E-Learning.☆14,292Updated last month
- Parallel computing with task scheduling☆13,638Updated last week
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,560Updated last year
- Open Machine Learning Course☆10,354Updated 3 months ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,019Updated 2 months ago
- Fast and Accurate ML in 3 Lines of Code☆9,662Updated this week
- A unified framework for machine learning with time series☆9,380Updated this week
- My blogs and code for machine learning. http://cnblogs.com/pinard☆8,668Updated last year
- Automated Machine Learning with scikit-learn☆8,009Updated last month
- An open source python library for automated feature engineering☆7,582Updated last month
- The "Python Machine Learning (2nd edition)" book code repository and info resource☆7,191Updated 5 years ago
- Fit interpretable models. Explain blackbox machine learning.☆6,728Updated last week
- Flower: A Friendly Federated AI Framework☆6,468Updated this week
- A scikit-learn compatible neural network library that wraps PyTorch☆6,139Updated 2 weeks ago
- 🍊 Orange: Interactive data analysis☆5,478Updated last week
- [译] scikit-learn（sklearn） 中文文档☆5,227Updated 2 years ago
- A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.☆4,970Updated 2 years ago
- The "Python Machine Learning (3rd edition)" book code repository☆4,947Updated 2 years ago
- A curated list of project tutorials for project-based learning.☆5,157Updated 3 weeks ago
- Code Repository for Machine Learning with PyTorch and Scikit-Learn☆4,841Updated 8 months ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,384Updated 9 months ago
- A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.☆4,254Updated last month
- A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep …☆3,945Updated 8 months ago
- Jupyter notebooks from the scikit-learn video series☆3,756Updated last year
- Machine Learning Containers for NVIDIA Jetson and JetPack-L4T☆4,002Updated this week
- 🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.☆3,658Updated last year
- A collection of scientific methods, processes, algorithms, and systems to build stories & models.☆3,665Updated last month
- 🛠 All-in-one web-based IDE specialized for machine learning and data science.☆3,525Updated last year
- Seamlessly integrate LLMs into scikit-learn.☆3,486Updated this week
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,506Updated 4 months ago