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HTML
CSS
Python
PHP
MySQL
Linux
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
What are data imputation techniques, and how are they used for handling missing data?
How do you handle high-cardinality categorical features in machine learning models?
Explain the concept of model overfitting and how can it be mitigated.
Explain the difference between random forests and gradient boosting methods.
What is the importance of data preprocessing in machine learning, and what steps are involved?
What are the differences between Ridge and Lasso regression?
What is the ROC-AUC curve, and how do you interpret it?
What is the importance of using dropout in deep learning models?
How do you optimize an ML model when the dataset is imbalanced?
How do support vector machines (SVM) work, and why are they used in classification problems?
What is overfitting, and how can it be avoided using regularization techniques?
How does ensemble learning work, and when should it be applied?
What is the purpose of a ROC curve in model evaluation?
What is a data mart, and how does it differ from a data warehouse in terms of analytical purposes?
What is the role of unsupervised learning in anomaly detection?
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