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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What is stratified sampling, and when should it be used in machine learning?
RELATED INTERVIEW QUESTIONS
What are time-series cross-validation techniques, and how are they applied in forecasting?
What is the concept of a confusion matrix, and how do you interpret its results in classification models?
How do you apply gradient descent in training deep neural networks?
What are the key steps in building a robust machine learning pipeline for predictive analytics?
How would you evaluate and select the best machine learning model for a specific use case?
Explain how you would approach feature engineering for a time-series dataset.
What is the importance of data privacy in analytics, and how do you ensure compliance?
Explain the concept of reinforcement learning and its applications in analytics.
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What is a confusion matrix, and how do you calculate its various metrics?
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What is the role of unsupervised learning in data clustering?
Explain how latent variable models work in data analytics.
What are gradient descent and its variants, and how are they used in machine learning?
What is data anonymization, and why is it essential in data analytics?
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