August 2025
Beginner
236 pages
7h 51m
English
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16 |
After examining the statistical underpinnings of numerous algorithms, it’s time to turn our attention to the coding component of machine learning and installing a development environment.
Although there are various options in regard to programming languages (as outlined in Chapter 4), Python has been chosen for this three-part exercise as it’s easy to learn and widely used in industry and online learning courses.
As for our development environment, we will be installing Jupyter Notebook, which is an open-source web application that allows for the editing and sharing of code notebooks. As discussed in book 1 (Python for Absolute Beginners), Jupyter Notebook can be installed using the Anaconda Distribution ...
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