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HTML
CSS
Python
PHP
MySQL
Linux
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 data leakage, and how can you prevent it in your analytics projects?
What are the differences between LSTM and GRU networks in deep learning?
How does data governance ensure the quality and security of your analytics outputs?
How do you handle high cardinality categorical features in machine learning models?
How do you select the best machine learning model for a given dataset?
Explain the concept of gradient boosting and its advantages over traditional decision trees.
What is the concept of feature extraction in computer vision?
What is the difference between parametric and non-parametric tests in hypothesis testing?
What is hyperparameter tuning, and why is it essential for model optimization? How do you perform hyperparameter tuning effectively?
Explain how you would deal with missing data in a large dataset.
What is linear programming, and how does it relate to data optimization problems?
How do you optimize the hyperparameters of machine learning algorithms?
How does the k-means clustering algorithm work and when should it be used?
What is gradient descent, and how does it work in the training of machine learning models? How do you decide the learning rate?
Explain the concept of a precision-recall curve and when to use it.
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