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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What is feature importance, and how do you evaluate it for machine learning models?
RELATED INTERVIEW QUESTIONS
Explain how latent variable models work in data analytics.
How do you assess the impact of outliers in your data and model predictions?
What is XGBoost, and how does it differ from other boosting algorithms?
Explain how you would deal with missing data in a large dataset.
What is transfer learning, and how is it useful in deep learning?
What are some effective techniques for handling missing values in large datasets?
What are data imputation techniques, and how are they used for handling missing data?
How would you handle an imbalanced dataset in a classification problem?
How do you evaluate the effectiveness of a recommendation system?
What is data integrity, and how is it maintained in a database?
What is tuning in machine learning, and how do you apply it to hyperparameters?
Explain how an ensemble learning method like Random Forest improves model performance.
What are LSTM networks, and how do they handle sequential data?
What are GANs (Generative Adversarial Networks), and what role do they play in data analytics?
Explain the concept of bias-variance tradeoff in machine learning.
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