Dozee Interview Questions and Answers

Q1. When do you prefer Decision Tree better than Random Forest model if model outputs are similar
Ans. 
Decision Tree is preferred over Random Forest when interpretability is important.
• Decision Tree is easier to interpret and visualize than Random Forest.

• Decision Tree is better suited for small datasets with few features.

• Random Forest is better suited for large datasets with many features.

• Random Forest is less prone to overfitting than Decision Tree.

• Decision Tree can be used as a building block for Random Forest.

• If inter...read more
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Q1. Why do you want to work here
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Time and work, time and distance, percentages, data interpretation

Business case study - increase revenue for museum

Q1. Common machine learning algorithms, statistical concepts, projects mentioned in resume
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Q1. Management round, behavioral questions were asked.
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Q2. Why Mathcompany?, what if your current company offers more pay?
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