Top 5 Data Science Interview Questions for Freshers

#Question 1

What are the differences between supervised and unsupervised learning?

Tip: Discuss use cases and applications for both types of learning.

#Question 2

How is logistic regression done?

Tips: Describe the logistic function (sigmoid) that maps input features to a probability. Mention the steps involved

#Question 3

Explain the steps in making a decision tree.

Tips: Start with an overview of decision trees as a supervised learning algorithm

#Question 4

How do you build a random forest model?

Tips: Highlight the benefits of random forests, such as reducing overfitting and improving model robustness.

#Question 5

Differentiate between univariate, bivariate, and multivariate analysis

Tips: Mention the goals of each type, such as summarizing, exploring associations, or making predictions.

How to Master Data Science Interview in 2024