December 2020
Intermediate to advanced
196 pages
3h 22m
English
Jupyter notebooks are increasingly the hub in both Data Science and Machine Learning projects. All major vendors have some form of Jupyter integration. Some tasks are more oriented in the direction of engineering and others in the direction of science.
A good example of a science focused workflow is the traditional notebook based Data Science workflow. First, data is collected, it could be anything from a SQL query to a CSV file hosted in Github. Next, the data is explored using visualization, statistics and unsupervized machine learning. ...