In this chapter we learned these topics:
- We learned how to save the model and load it to re-use it without running the previous code.
- How to deploy the model in a web service.
- How to create a virtual environment.
- How to create a container and run our code in any operating systems.
- How to deploy our code in a public web service and access it externally from outside a local computer.
In the next chapter we will learn the algorithms such as Decision trees, Random forests and Gradient boosting as an alternative way of combining decision tress.
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