Mindtree – Machine Learning Interview Questions
Here is the list Machine Learning Interview Questions which are recently asked in Mindtree company. These questions are included for both Freshers and Experienced professionals.
- Explain the difference between supervised and unsupervised machine learning?
- Explain the difference between KNN and k.means clustering?
- What is the difference between classification and regression?
- How to ensure that your model is not overfitting?
- What is meant by ‘Training set’ and ‘Test Set’?
- List the main advantage of Navie Bayes?
- Explain Ensemble learning.
- Explain dimension reduction in machine learning.
- What should you do when your model is suffering from low bias and high variance? Explain differences between random forest and gradient boosting algorithm.
- What is the "Curse of Dimensionality?"
- Explain the Bias-Variance Tradeoff.
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