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HTML
CSS
Python
PHP
MySQL
Linux
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 perform feature scaling, and what are its benefits in machine learning?
How do you handle a large dataset that does not fit into memory?
How do you perform dimensionality reduction, and why is it essential in machine learning?
What are LSTM networks, and how do they handle sequential data?
What are the key differences between supervised and unsupervised learning in data analytics?
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 handle imbalanced datasets in classification models?
What are the best practices to ensure model interpretability and explainability?
How do you deal with temporal dependencies in time-series forecasting?
What is dimensionality reduction, and how does PCA (Principal Component Analysis) help?
How do you perform feature engineering in time-series data?
How do you address skewed data distributions in machine learning models?
What is the importance of data preprocessing in machine learning, and what steps are involved?
How would you analyze customer churn using data analytics?
How would you evaluate model performance in an imbalanced dataset problem?
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