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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What are recurrent neural networks (RNNs), and how do they handle time-series data?
RELATED INTERVIEW QUESTIONS
What is dimensionality reduction, and why is it important in data analytics?
What is the accuracy paradox and how does it affect model evaluation?
How do you ensure reproducibility in your data analysis pipelines?
What is the K-nearest neighbors algorithm, and when would you use it?
What is the role of data imputation in handling missing data?
What is the difference between precision and accuracy in the context of classification problems?
What is time-series forecasting, and how do you handle seasonality in models?
Explain the role of backpropagation in training neural networks.
What are recurrent neural networks (RNNs), and how do they handle time-series data?
What is the significance of hyperparameter tuning in optimizing machine learning models?
What is the difference between batch normalization and layer normalization in deep learning?
What are the differences between deep learning and ensemble methods in predictive analytics?
How do you handle and analyze large-scale datasets in Python using pandas and Dask?
How does dimensionality reduction improve the performance of machine learning algorithms?
What are some of the most common causes of overfitting in machine learning models, and how do you mitigate them?
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