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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 LSTM networks, and how do they handle sequential data?
RELATED INTERVIEW QUESTIONS
How do you handle outliers in time-series data?
What is the role of Shannon entropy in feature selection?
How would you perform data aggregation for summarizing large datasets?
What are the differences between bagging and boosting in ensemble methods?
How do you apply data smoothing techniques for time-series forecasting?
Explain the concept of a data pipeline and its components in an analytics workflow.
Explain how an ensemble learning method like Random Forest improves model performance.
Explain how hyperparameter optimization improves machine learning model performance.
What is latent variable modeling, and how is it used in dimensionality reduction techniques such as factor analysis or topic modeling?
How do you handle multicollinearity in regression models?
Explain how overfitting and underfitting affect the performance of a machine learning model.
How do you perform dimensionality reduction, and why is it essential in machine learning?
What are the advantages of using convolutional neural networks (CNN) in image analytics?
What are some effective techniques for handling missing values in large datasets?
What are the common pitfalls when working with real-time data in analytics?
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