Palo Alto Networks Interview Question

Fundamental Concepts: Explain the difference between supervised and unsupervised learning. What is overfitting, and how can it be prevented or mitigated? Algorithmic Knowledge: Describe how a decision tree works and its applications. Explain the concept of gradient descent in the context of machine learning optimization. Coding and Programming: Implement a binary classifier in Python. Write code to load and preprocess a dataset for a machine learning model. Model Evaluation: How do you assess the performance of a machine learning model? What is the purpose of precision and recall? How are they calculated?