The rivalry for data science employment has significantly expanded as the area remains in great demand. To help you prepare for your next interview, we have produced a list of the top 20 interview questions for data science positions along with sample answers. Summary of Contents 1. What distinctions between supervised and unsupervised learning do you think are important? 2. Could you describe the dimensionality curse and how it impacts machine learning models? 3. How have you found the cleaning and preparation of data? 4. Could you explain the procedures you would follow to create a machine learning model? 5. How is regularisation used in machine learning, and why is it crucial? 6. What constitutes overfitting and underfitting, respectively? 7. How should missing values be handled in a dataset? 8. Describe cross-validation and explain its significance. 9. How do you decide which features in a dataset are most crucial? 10. Describe the bias-variance t...
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