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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 handle imbalanced datasets in classification models?
RELATED INTERVIEW QUESTIONS
What is model drift, and how can it affect predictive analytics models?
What is the purpose of learning curves in machine learning, and how can they be used to detect underfitting or overfitting in a model?
What are the advantages of using deep learning over traditional machine learning in analytics?
What is the accuracy paradox and how does it affect model evaluation?
What is the significance of data encryption in data privacy and analytics?
How do support vector machines (SVM) work, and why are they used in classification problems?
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What are the challenges of data visualization, and how do you overcome them?
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What is the difference between KNN and SVM in classification tasks?
How do you handle high-dimensional data and reduce the risk of overfitting?
What are the challenges of working with unstructured data, and how can they be overcome?
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