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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How would you handle an imbalanced dataset in a classification problem?
RELATED INTERVIEW QUESTIONS
What are the benefits of using cloud analytics over on-premise solutions?
How do you handle high-velocity data in real-time analytics applications?
How do you choose the appropriate machine learning algorithm for a given dataset or problem? What factors influence your decision?
What are gradient descent and its variants, and how are they used in machine learning?
What are decision trees, and how are they used in classification tasks?
What is reinforcement learning, and where is it applied in business analytics?
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How do you handle and analyze large-scale datasets in Python using pandas and Dask?
Explain how data integrity is maintained in a multi-source data environment.
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What is multi-objective optimization, and how does it differ from single-objective optimization?
How do you calculate the precision, recall, and F1-score for a binary classification model?
What is the importance of hyperparameter tuning in machine learning models?
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How do you evaluate the predictive accuracy of a machine learning model?
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