Stock-market-sentiment-analysis

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.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

? Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

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

Open standard for machine learning interoperability

A neural network that transforms a design mock-up into a static website.

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