scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.
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.
Open standard for machine learning interoperability
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Your new Mentor for Data Science E-Learning.
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.
Fast and Accurate ML in 3 Lines of Code
A unified framework for machine learning with time series
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
Created by David Cournapeau
Released January 05, 2010
Latest release about 2 months ago
