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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
How would you handle seasonality in a time-series forecasting problem?
RELATED INTERVIEW QUESTIONS
What is the role of data enrichment in data analytics, and how is it achieved?
How do you use bootstrapping in model evaluation, and what are its advantages?
Explain how backpropagation works in training neural networks.
How do you handle multicollinearity in a dataset, and why is it important to address it before building a model?
What are the challenges in analyzing big data, and how do you mitigate them?
How do you implement feature selection techniques for high-dimensional data?
What is the curse of dimensionality and how does it affect machine learning models?
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 role of feature scaling in improving the performance of machine learning algorithms.
What are the common types of clustering algorithms, and how do you choose between them?
What are time-series cross-validation techniques, and how are they applied in forecasting?
How do you measure the generalization error of a machine learning model?
What are GANs (Generative Adversarial Networks), and what role do they play in data analytics?
How does feature scaling improve the performance of gradient-based learning algorithms?
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