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☆77,366Updated last week
- 100 Days of ML Coding☆48,207Updated last year
- Python Data Science Handbook: full text in Jupyter Notebooks☆45,430Updated last year
- AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2☆41,423Updated 10 months ago
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆28,532Updated last year
- ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.☆25,631Updated last year
- 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.☆21,917Updated this week
- Open standard for machine learning interoperability☆19,582Updated last week
- ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator☆17,862Updated this week
- Your new Mentor for Data Science E-Learning.☆14,189Updated last year
- Parallel computing with task scheduling☆13,481Updated last week
- The "Python Machine Learning (1st edition)" book code repository and info resource☆12,496Updated 9 months ago
- Open Machine Learning Course☆10,213Updated 3 weeks ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆9,980Updated this week
- Fast and Accurate ML in 3 Lines of Code☆9,381Updated last week
- A unified framework for machine learning with time series☆9,250Updated this week
- My blogs and code for machine learning. http://cnblogs.com/pinard☆8,597Updated last year
- Automated Machine Learning with scikit-learn☆7,946Updated last week
- An open source python library for automated feature engineering☆7,537Updated 2 weeks ago
- The "Python Machine Learning (2nd edition)" book code repository and info resource☆7,187Updated 4 years ago
- Fit interpretable models. Explain blackbox machine learning.☆6,678Updated 2 weeks ago
- Flower: A Friendly Federated AI Framework☆6,217Updated this week
- A scikit-learn compatible neural network library that wraps PyTorch☆6,113Updated last month
- 🍊 Orange: Interactive data analysis☆5,336Updated this week
- [译] scikit-learn（sklearn） 中文文档☆5,218Updated 2 years ago
- A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.☆4,921Updated last year
- The "Python Machine Learning (3rd edition)" book code repository☆4,902Updated 2 years ago
- A curated list of project tutorials for project-based learning.☆4,675Updated 4 months ago
- Code Repository for Machine Learning with PyTorch and Scikit-Learn☆4,602Updated 6 months ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,375Updated 6 months ago
- A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.☆4,206Updated 2 weeks ago
- A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep …☆3,903Updated 5 months ago
- Jupyter notebooks from the scikit-learn video series☆3,739Updated last year
- Machine Learning Containers for NVIDIA Jetson and JetPack-L4T☆3,738Updated last week
- 🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.☆3,650Updated last year
- A collection of scientific methods, processes, algorithms, and systems to build stories & models.☆3,639Updated last week
- 🛠 All-in-one web-based IDE specialized for machine learning and data science.☆3,520Updated last year
- Seamlessly integrate LLMs into scikit-learn.☆3,477Updated 2 weeks ago
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,474Updated 2 months ago