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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
How do you deal with temporal dependencies in time-series forecasting?
RELATED INTERVIEW QUESTIONS
What is the role of data normalization in machine learning?
How does bootstrapping improve model accuracy in statistical analysis?
What is hyperparameter tuning, and why is it essential for model optimization? How do you perform hyperparameter tuning effectively?
What are the common types of clustering algorithms, and how do you choose between them?
What are the advantages of using convolutional neural networks (CNN) in image analytics?
What is time-series analysis, and what techniques do you use for it?
What is the role of data enrichment in data analytics, and how is it achieved?
Explain the difference between data mining and data analytics.
Can you explain the no free lunch theorem in machine learning and its implications on choosing algorithms for different types of problems?
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How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
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What is the role of unsupervised learning in anomaly detection?
What is model drift, and how can it affect predictive analytics models?
How do you handle high-cardinality categorical features in machine learning models?
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