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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What are the advantages of support vector machines (SVM) in classification tasks?
RELATED INTERVIEW QUESTIONS
What are the differences between LSTM and GRU networks in deep learning?
Explain how overfitting and underfitting affect the performance of a machine learning model.
Explain data leakage and how to prevent it in machine learning models.
How do you handle imbalanced datasets in classification models?
What is dimensionality reduction, and how does PCA (Principal Component Analysis) help?
What is the bootstrap method, and how is it used for confidence interval estimation?
How do you handle high cardinality categorical features in machine learning models?
How do you perform unsupervised learning for customer segmentation?
What are active learning methods, and when would you apply them in data analytics?
How does the concept of cross-validation help prevent overfitting in machine learning models?
How do you perform outlier detection in data analytics?
How do support vector machines (SVM) work, and why are they used in classification problems?
What are the advantages of using convolutional neural networks (CNN) in image analytics?
What is the role of data normalization in machine learning?
What are the best practices for analyzing real-time data streams?
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