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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 deep learning and its key differences from traditional machine learning methods?
RELATED INTERVIEW QUESTIONS
How do you evaluate the effectiveness of an outlier detection model?
How do you handle high-cardinality categorical features in machine learning models?
How do you measure the generalization error of a machine learning model?
Explain the concept of ensemble learning and its applications in classification and regression problems.
What is data lineage, and how does it help in tracking data flow?
Explain how an ensemble learning method like Random Forest improves model performance.
What are the best practices to ensure model interpretability and explainability?
What are the different methods for handling missing data in datasets?
How do you assess the trade-off between bias and variance in a machine learning model, and what strategies can you use to balance them?
What are the advantages of using XGBoost over other machine learning algorithms?
What are the common types of clustering algorithms, and how do you choose between them?
What are the most important performance metrics for classification models?
What are LSTM networks, and how do they handle sequential data?
What is gradient boosting and why is it more effective than traditional decision trees?
What are the differences between Ridge and Lasso regression?
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