Machine Learning: Random Forest with Python from Scratch - Recursion

The video tutorial begins with a brief overview of a previously implemented random forest model using SK learn. The session aims to implement a random forest from scratch without using Python's built-in libraries, except for pandas. The focus is on understanding the underlying processes of SK learn's implementation. The tutorial introduces Riccurian, a programming concept similar to recursion, and demonstrates its implementation in Python. The video explains the base case, variable updation, and recall in Riccurian, using a practical example in a Jupyter notebook. The session concludes with an explanation of how Riccurian functions operate like a stack.

What was the output of the recursive function when counting down from 10?

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What happens when the recursive function reaches its base case?

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How does the stack function relate to recursion?

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What is the next topic to be covered in the following lecture?

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