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