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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What are the types of biases in data analysis and how can they be minimized?
RELATED INTERVIEW QUESTIONS
What are the common pitfalls when working with real-time data in analytics?
What is model drift, and how can it affect predictive analytics models?
What is linear programming, and how does it relate to data optimization problems?
How would you apply ensemble learning techniques for improving the accuracy of machine learning models?
What is the importance of using dropout in deep learning models?
How do you use SQL joins in data analytics to integrate data from multiple sources?
How do you interpret the results of a confusion matrix, and what does it tell you about the performance of a classification model?
What is Gaussian Naive Bayes, and when would you use it in classification?
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What are semantic networks, and how are they used in knowledge extraction from text?
What is the importance of model interpretability in real-world data analytics applications?
How do you handle heteroscedasticity in regression models?
What are the common types of clustering algorithms, and how do you choose between them?
What are GANs (Generative Adversarial Networks), and what role do they play in data analytics?
How do you evaluate model robustness to different types of input data?
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