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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 are they used in sequence prediction tasks?
RELATED INTERVIEW QUESTIONS
Explain how principal component analysis (PCA) works for dimensionality reduction.
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What is the importance of using dropout in deep learning models?
How do you balance the trade-off between bias and variance in machine learning?
How do you ensure reproducibility in your data analysis pipelines?
What is the role of data normalization in machine learning?
What is the concept of Feature Extraction in computer vision analytics?
What are some effective techniques for handling missing values in large datasets?
How do you handle missing data in large datasets using imputation techniques?
How would you visualize high-dimensional data using dimensionality reduction techniques?
What is time-series forecasting, and how do you handle seasonality in models?
How do you implement feature selection techniques for high-dimensional data?
What is the role of unsupervised learning in data clustering?
What is Principal Component Analysis (PCA) used for in data reduction?
Explain the concept of hyperparameter tuning and its role in model optimization.
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