Create your own Machine Learning model from Scratch without using any libraries. That is, you will learn how the Reinforcement Learning Machine Learning algorithm works and create it yourself from scratch in Python.
In this last lesson you will make your Cap Stone project. Creating your own Machine Learning model from scratch. First we will learn what the Reinforcement model is, how it works, and a description of the algorithm.
Then we will look at the problem we want to solve and use Object-Oriented Programming (OOP) to create a Field class where our algorithm will exist in. The field will contain actions that the model can make, and reward it according to the behavior we want.
Then we will continue to create a naive solution to the problem, to see how well it performs. This will be a baseline for the implementation of our Reinforcement Learning algorithm.
Then we continue to implement a Q-table, the learning part of the algorithm. Finally, we will see how it performs compared to the naive solution. And I will promise you, you will be impressed how little code is needed to make such an efficient algorithm.
▸ Course Page: https://www.learnpythonwithrune.org/learn-python/
▸ GitHub (Notebooks): https://github.com/LearnPythonWithRune/LearnPython/
▸ FREE Python eBook: https://www.learnpythonwithrune.org/learn-python/
