Preparing for a Python AI/ML Internship interview what should I focus on?

I have an upcoming interview for a Python AI/ML Internship role. It's a fresher position focused on:

Building and training ML models using Python

Data cleaning, preprocessing, and analysis

Implementing ML algorithms and evaluating model performance

Working on projects like prediction, classification, or recommendation systems

They expect knowledge of:

Basic to intermediate Python

Core ML concepts

Data structures and algorithms

Bonus points for knowing NumPy, Pandas, Scikit-learn, SQL, and Git.

I'd love to know:

What topics should I focus on most?

Any common interview questions for this kind of role?

Any tips from people who've been through similar interviews?

Thanks in advance