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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is the significance of hyperparameter tuning in optimizing machine learning models?
RELATED INTERVIEW QUESTIONS
How do you handle high cardinality categorical features in machine learning models?
How do you assess the trade-off between bias and variance in a machine learning model, and what strategies can you use to balance them?
How would you optimize the performance of a recommendation system for personalized product suggestions?
What is the difference between KNN and SVM in classification tasks?
What is Principal Component Analysis (PCA) used for in data reduction?
How do you implement supervised learning for predictive modeling in healthcare analytics?
How do you deal with large-scale, unstructured data in text analytics?
What are the main differences between batch processing and real-time processing in data analytics?
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Explain the concept of gradient boosting and its advantages over traditional decision trees.
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What is the significance of the ROC-AUC score in evaluating classification models?
What is the role of Natural Language Processing (NLP) in data analytics?
What are the different types of machine learning models used for predictive analytics?
What are decision trees, and how are they used in classification tasks?
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