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A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Source code accompanying O'Reilly book: Machine Learning Design Patterns
Public repo for DeepLearning.AI MLEP Specialization
For extensive instructor led learning
Machine Learning for Finance, published by Packt
A Practical Guide to Deep Learning with TensorFlow 2.0 and Keras materials for Frontend Masters course