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 new insight or understanding did you gain from this video?