During my interview for a Data Science intern position, I was asked various questions that tested both my technical skills and problem-solving abilities. Here are some examples: Technical Skills: Explain the difference between supervised and unsupervised learning. How would you handle missing data in a dataset? Describe how a random forest algorithm works. Write a Python function to calculate the mean of a list of numbers. What is the purpose of regularization in machine learning? Problem-Solving: Given a dataset, how would you approach building a predictive model? How would you determine if a model is overfitting? Case Study/Project: Walk me through a data science project you've worked on. What challenges did you face, and how did you overcome them? How would you evaluate the performance of a machine learning model? Behavioral: Tell me about a time you had to learn a new tool or technology quickly. How do you prioritize your work when dealing with multiple deadlines?
