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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 do they handle sequential data?
RELATED INTERVIEW QUESTIONS
Explain the concept of ensemble methods and give examples of algorithms used in ensemble learning.
What is the purpose of a ROC curve in model evaluation?
What is tuning in machine learning, and how do you apply it to hyperparameters?
How does bootstrapping improve model accuracy in statistical analysis?
Explain the difference between data mining and data analytics.
What is model drift, and how can it affect predictive analytics models?
How do you handle and process categorical data in machine learning algorithms?
How do you detect data imbalances in a classification problem and address them?
What is the difference between precision and accuracy in the context of classification problems?
How do you apply data smoothing techniques for time-series forecasting?
What are the advantages of support vector machines (SVM) in classification tasks?
What is the difference between classification and regression problems in machine learning?
How do you implement automated machine learning (AutoML) tools in your workflow?
What are autoencoders, and how are they used in unsupervised learning tasks?
Explain the importance of hyperparameter tuning in improving machine learning models.
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