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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 Gaussian Naive Bayes, and when would you use it in classification?
RELATED INTERVIEW QUESTIONS
How do you deal with temporal dependencies in time-series forecasting?
How would you implement real-time data analytics for fraud detection?
What is the significance of A/B testing in optimizing data-driven decisions?
What is data anonymization, and why is it essential in data analytics?
How do you select relevant features from a dataset to improve model accuracy?
What are the different types of feature engineering methods and how do they impact model performance?
How do you perform feature importance analysis for model interpretability?
Explain the difference between data mining and data analytics.
What is the importance of model interpretability in real-world data analytics applications?
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?
What are time-series cross-validation techniques, and how are they applied in forecasting?
What is the role of data imputation in handling missing data?
What is Boosting in machine learning, and how does it work?
How do you deal with class imbalance in classification models?
What is the difference between batch normalization and layer normalization in deep learning?
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