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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
How do you deal with skewed data in regression models?
RELATED INTERVIEW QUESTIONS
What are autoencoders, and how are they used in unsupervised learning tasks?
What are LSTM networks, and how do they handle sequential data?
How do you address skewed data distributions in machine learning models?
What is the role of Natural Language Processing (NLP) in data analytics?
What are the best practices for implementing cloud-based analytics for large-scale datasets?
What is the role of data normalization in machine learning?
What is the role of visualization in data analysis, and which Python libraries would you use?
What are the challenges of data visualization, and how do you overcome them?
What is the role of data imputation in handling missing data?
What is the difference between random forests and decision trees?
What are the main differences between batch processing and real-time processing in data analytics?
What are the common pitfalls when working with real-time data in analytics?
Explain the concept of gradient boosting and its advantages over traditional decision trees.
How would you implement real-time data analytics for fraud detection?
What is the difference between classification and regression problems in machine learning?
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