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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 the key differences between a decision tree and a random forest?
RELATED INTERVIEW QUESTIONS
What is data normalization, and why is it important in machine learning?
What are the main differences between batch processing and real-time processing in data analytics?
How do you use clustering for market segmentation in customer analytics?
What are LSTM networks, and how do they handle sequential data?
What are the advantages of using deep learning over traditional machine learning in analytics?
What are semantic networks, and how are they used in knowledge extraction from text?
What are recurrent neural networks (RNNs), and how do they handle time-series data?
What is stratified sampling, and when should it be used in machine learning?
What is the importance of data privacy in analytics, and how do you ensure compliance?
What is the difference between random forests and decision trees?
Explain the concept of gradient boosting and its advantages over traditional decision trees.
What is Bagging in machine learning, and how does it reduce overfitting?
What is the role of data imputation in handling missing data?
What are the advantages and disadvantages of using deep learning for structured data analysis?
What are the differences between bagging and boosting in ensemble methods?
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