scikit-learn is a Python module for machine learning.
There are 25,253 repositories under scikit-learn topic.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
100 Days of ML Coding
Python Data Science Handbook: full text in Jupyter Notebooks
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
The "Python Machine Learning (1st edition)" book code repository and info resource
Open Machine Learning Course
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
My blogs and code for machine learning. http://cnblogs.com/pinard
Automated Machine Learning with scikit-learn
An open source python library for automated feature engineering
The "Python Machine Learning (2nd edition)" book code repository and info resource
Fit interpretable models. Explain blackbox machine learning.
A scikit-learn compatible neural network library that wraps PyTorch
:book: [译] scikit-learn(sklearn) 中文文档
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
The "Python Machine Learning (3rd edition)" book code repository
Visual analysis and diagnostic tools to facilitate machine learning model selection.
PipelineAI
A curated list of project tutorials for project-based learning.
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Code Repository for Machine Learning with PyTorch and Scikit-Learn
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
Jupyter notebooks from the scikit-learn video series
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
A collection of scientific methods, processes, algorithms, and systems to build stories & models.