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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
How do support vector machines (SVM) work, and why are they used in classification problems?
RELATED INTERVIEW QUESTIONS
Explain the difference between random forests and gradient boosting methods.
What are recurrent neural networks (RNNs), and how do they handle time-series data?
How do you handle high-dimensional data and reduce the risk of overfitting?
What is dimensionality reduction, and why is it important in data analytics?
What are the differences between bagging and boosting in ensemble methods?
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What are gradient descent and its variants, and how are they used in machine learning?
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How do you implement automated machine learning (AutoML) tools in your workflow?
What are the different types of machine learning models used for predictive analytics?
What are LSTM networks, and how do they handle sequential data?
Explain the concept of Big Data and its challenges in the context of data analytics.
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