Enhancing Data Science Workflows with Jupyter

This chapter delves into how Jupyter enhances project workflows in data science, focusing on version control and data provenance using the .science Python library. It highlights collaborative machine learning capabilities and demonstrates the practical application of training a model for classifying German road signs using Keras in TensorFlow.