scikit-learn

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

100 Days of ML Coding

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 or handson-mlp instead.

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Open standard for machine learning interoperability

Your new Mentor for Data Science E-Learning.

Parallel computing with task scheduling

The "Python Machine Learning (1st edition)" book code repository and info resource

Open Machine Learning Course

Fast and Accurate ML in 3 Lines of Code

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

A unified framework for machine learning with time series

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

An open source python library for automated feature engineering

The "Python Machine Learning (2nd edition)" book code repository and info resource

Flower: A Friendly Federated AI Framework

Fit interpretable models. Explain blackbox machine learning.