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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is the confusion matrix, and how does it help evaluate classification models?
RELATED INTERVIEW QUESTIONS
How do you implement feature selection techniques for high-dimensional data?
How do you use data augmentation to improve a deep learning model’s performance?
How do you perform feature importance analysis for model interpretability?
What is data lineage, and how does it help in tracking data flow?
How do you evaluate the effectiveness of a recommendation system?
How do you handle categorical data in machine learning models?
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
What is tuning in machine learning, and how do you apply it to hyperparameters?
What is causal inference, and how does it differ from correlation analysis?
How do you evaluate model performance when the dataset is small and unbalanced?
What is a data mart, and how does it differ from a data warehouse in terms of analytical purposes?
Explain how you would approach feature engineering for a time-series dataset.
What are LSTM networks, and how are they used in sequence prediction tasks?
Explain the difference between bagging and boosting techniques.
How do you evaluate model robustness to different types of input data?
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