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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
How do you handle textual data when working with machine learning models?
RELATED INTERVIEW QUESTIONS
How do you handle imbalanced datasets in classification models?
Explain how you would approach feature engineering for a time-series dataset.
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Explain bootstrapping and how it helps with estimating uncertainty in your analysis.
Explain the role of backpropagation in training neural networks.
Explain the concept of gradient boosting and its advantages over traditional decision trees.
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What is the difference between deterministic and stochastic models in analytics?
Explain how you would deal with missing data in a large dataset.
How do you address skewed data distributions in machine learning models?
What are the challenges in analyzing big data, and how do you mitigate them?
What are the differences between bagging and boosting in ensemble methods?
What are autoencoders, and how are they used in unsupervised learning tasks?
What is gradient descent, and how does it work in the training of machine learning models? How do you decide the learning rate?
How does bootstrapping improve model accuracy in statistical analysis?
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