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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What is gradient descent, and how does it work in the training of machine learning models? How do you decide the learning rate?
RELATED INTERVIEW QUESTIONS
How do you handle high-dimensional data and reduce the risk of overfitting?
What is a data mart, and how does it differ from a data warehouse in terms of analytical purposes?
What are convolutional neural networks (CNN) used for in image recognition?
How does dimensionality reduction improve the performance of machine learning algorithms?
What is tuning in machine learning, and how do you apply it to hyperparameters?
Explain how overfitting and underfitting affect the performance of a machine learning model.
How do support vector machines (SVM) work, and why are they used in classification problems?
What is the role of deep learning in modern analytics and business decision-making?
What are the differences between deep learning and ensemble methods in predictive analytics?
How do you ensure reproducibility in your data analysis pipelines?
How do you handle high-cardinality categorical features in machine learning models?
What are recurrent neural networks (RNNs), and how are they used in sequential data analysis?
How do you handle imbalanced datasets in classification models?
How do you handle multivariate time series data for forecasting?
What is XGBoost, and how does it differ from other boosting algorithms?
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