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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
Explain the Naive Bayes algorithm and its application in data analytics.
RELATED INTERVIEW QUESTIONS
Explain how data integrity is maintained in a multi-source data environment.
What is data lineage, and how does it help in tracking data flow?
What is the importance of model validation and how do you perform it in practice?
How would you handle an imbalanced dataset in a classification problem?
What is a data mart, and how does it differ from a data warehouse in terms of analytical purposes?
How do you deal with large-scale, unstructured data in text analytics?
Explain the role of backpropagation in training neural networks.
How do you perform feature importance analysis for model interpretability?
What are active learning methods, and when would you apply them in data analytics?
What is time-series analysis, and what techniques do you use for it?
What is XGBoost, and how does it differ from other boosting algorithms?
How does feature scaling improve the convergence of gradient descent algorithms?
How do you optimize the hyperparameters of machine learning algorithms?
How do you analyze multi-class classification problems with machine learning?
What is the Kurtosis of a distribution, and how do you interpret it?
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