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☆72,783Updated last week
- 100 Days of ML Coding☆47,464Updated last year
- Python Data Science Handbook: full text in Jupyter Notebooks☆44,757Updated 11 months ago
- AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2☆41,018Updated 7 months ago
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,284Updated last year
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.☆25,452Updated last year
- 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.☆20,214Updated this week
- Open standard for machine learning interoperability☆19,121Updated last week
- ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator☆16,978Updated this week
- Your new Mentor for Data Science E-Learning.☆14,083Updated last year
- Parallel computing with task scheduling☆13,277Updated this week
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,439Updated 7 months ago
- Open Machine Learning Course☆10,092Updated 3 weeks ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆9,925Updated last month
- Fast and Accurate ML in 3 Lines of Code☆8,953Updated this week
- My blogs and code for machine learning. http://cnblogs.com/pinard☆8,546Updated last year
- A unified framework for machine learning with time series☆9,107Updated this week
- Automated Machine Learning with scikit-learn☆7,864Updated 5 months ago
- An open source python library for automated feature engineering☆7,466Updated this week
- The "Python Machine Learning (2nd edition)" book code repository and info resource☆7,172Updated 4 years ago
- Fit interpretable models. Explain blackbox machine learning.☆6,527Updated this week
- A scikit-learn compatible neural network library that wraps PyTorch☆6,052Updated last week
- Flower: A Friendly Federated AI Framework☆6,023Updated this week
- [译] scikit-learn（sklearn） 中文文档☆5,187Updated last year
- 🍊 Orange: Interactive data analysis☆5,231Updated last week
- A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.☆4,854Updated last year
- The "Python Machine Learning (3rd edition)" book code repository☆4,830Updated 2 years ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,354Updated 4 months ago
- A curated list of project tutorials for project-based learning.☆4,382Updated last month
- Code Repository for Machine Learning with PyTorch and Scikit-Learn☆4,342Updated 3 months ago
- PipelineAI☆4,171Updated last year
- A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.☆4,153Updated 3 weeks ago
- A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep …☆3,877Updated 3 months ago
- Jupyter notebooks from the scikit-learn video series☆3,722Updated last year
- 🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.☆3,630Updated 11 months ago
- A collection of scientific methods, processes, algorithms, and systems to build stories & models.☆3,566Updated this week
- 🛠 All-in-one web-based IDE specialized for machine learning and data science.☆3,504Updated 10 months ago
- Seamlessly integrate LLMs into scikit-learn.☆3,446Updated 3 weeks ago
- 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☆3,225Updated 2 years ago