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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 decision trees, and how are they used in classification tasks?
RELATED INTERVIEW QUESTIONS
What is the importance of model interpretability in real-world data analytics applications?
What is the role of natural language processing in analyzing customer feedback?
How do you handle imbalanced datasets in classification models?
What are the different methods for handling missing data in datasets?
What is feature importance, and how do you evaluate it for machine learning models?
How do you analyze multi-class classification problems with machine learning?
How do you use bootstrapping in model evaluation, and what are its advantages?
What is the F1-score in classification tasks, and why is it important?
What are the benefits of using cloud analytics over on-premise solutions?
How does data governance ensure the quality and security of your analytics outputs?
What is a confusion matrix, and how do you calculate its various metrics?
How do you handle and analyze large-scale datasets in Python using pandas and Dask?
What are the types of biases in data analysis and how can they be minimized?
Explain the difference between supervised and unsupervised learning with examples.
What is the difference between batch processing and streaming in big data analytics?
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