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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What are GANs (Generative Adversarial Networks), and what role do they play in data analytics?
RELATED INTERVIEW QUESTIONS
Explain how overfitting and underfitting affect the performance of a machine learning model.
What are the key steps in building a robust machine learning pipeline for predictive analytics?
How do you interpret the results of cluster analysis in market research?
What is dimensionality reduction, and how does it improve model performance?
What is the learning rate in deep learning, and how do you optimize it?
How does the k-means clustering algorithm work and when should it be used?
Explain the concept of a data pipeline and its components in an analytics workflow.
What are LSTM networks, and how do they handle sequential data?
How would you implement Text Classification using machine learning algorithms?
How does feature scaling improve the performance of gradient-based learning algorithms?
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What is the role of Bayesian methods in data analytics, and how do they compare to frequentist approaches?
How do you evaluate model robustness to different types of input data?
How do you address skewed data distributions in machine learning models?
What is hyperparameter tuning, and why is it essential for model optimization? How do you perform hyperparameter tuning effectively?
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