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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How do you choose the appropriate machine learning algorithm for a given dataset or problem? What factors influence your decision?
RELATED INTERVIEW QUESTIONS
Explain the concept of gradient boosting and its advantages over traditional decision trees.
What is a data mart, and how does it differ from a data warehouse in terms of analytical purposes?
What is the role of decision trees in building interpretable machine learning models?
What is Principal Component Analysis (PCA) used for in data reduction?
What is deep learning and how is it used for image recognition?
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Explain the concept of feature importance in models like Random Forest or Gradient Boosting. How do you assess and interpret feature impor
What is dimensionality reduction, and how does PCA (Principal Component Analysis) help?
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How do you evaluate the effectiveness of a recommendation system?
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What are the advantages and limitations of using SQL vs NoSQL for large-scale analytics?
How do you optimize an ML model when the dataset is imbalanced?
How would you handle an imbalanced dataset in a classification problem?
What are active learning methods, and when would you apply them in data analytics?
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