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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
What are the types of biases in data analysis and how can they be minimized?
How do you perform outlier detection using machine learning techniques?
How do you evaluate the effectiveness of a recommendation system?
What are GANs (Generative Adversarial Networks), and what role do they play in data analytics?
What are the advantages of using XGBoost over other machine learning algorithms?
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 is the difference between segmentation and clustering in data analytics?
Explain the concept of a precision-recall curve and when to use it.
What is the difference between precision and accuracy in the context of classification problems?
How do you build a predictive model for sales forecasting in e-commerce?
What is the ROC-AUC curve, and how do you interpret it?
What are the advantages and limitations of using SQL vs NoSQL for large-scale analytics?
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
What is the role of unsupervised learning in anomaly detection?
What are the advantages of using convolutional neural networks (CNN) in image analytics?
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