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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What is data anonymization, and why is it essential in data analytics?
RELATED INTERVIEW QUESTIONS
How do you deal with large-scale, unstructured data in text analytics?
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What are the different types of feature engineering methods and how do they impact model performance?
What are the common types of clustering algorithms, and how do you choose between them?
How would you apply cross-validation techniques in a deep learning model?
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How do you optimize model performance in an unsupervised learning task?
How do you select relevant features from a dataset to improve model accuracy?
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Explain the concept of a precision-recall curve and when to use it.
How do you assess the trade-off between bias and variance in a machine learning model, and what strategies can you use to balance them?
How do you choose the appropriate machine learning algorithm for a given dataset or problem? What factors influence your decision?
What is XGBoost, and how does it differ from other boosting algorithms?
What is dimensionality reduction, and why is it important in data analytics?
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