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?

What happens when the recursive function reaches its base case?

How does the stack function relate to recursion?

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