Guides, tutorials, and documentation for Machine Learning.
2 resources totaling 5 minutes of reading. Covers Guides from intermediate to beginner difficulty.
A practical course and code repository for learning how to design, develop, deploy and iterate on production-grade machine learning applications.
Hands-On Machine Learning 3 is a public Jupyter notebook series for learning practical machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow 2.