Easier Experimenting in Python
When we work on a machine learning project, we quite often need to experiment with multiple alternatives. Some features in Python allow us to try out different options without much effort. In this tutorial, we are going to see some tips to make our experiments faster.
After finishing this tutorial, you will learn:
- How to leverage a duck-typing feature to easily swap functions and objects
- How making components into drop-in replacements for each other can help experiments run faster
Kick-start your project with my new book Python for Machine Learning, including step-by-step tutorials and the Python source code files for all examples.
Let’s get started.
