sklearnflask

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

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

Parallel computing with task scheduling

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