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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 common pitfalls when working with real-time data in analytics?
RELATED INTERVIEW QUESTIONS
How do you handle and process categorical data in machine learning algorithms?
Explain the role of feature scaling in improving the performance of machine learning algorithms.
How would you handle seasonality in a time-series forecasting problem?
What is data leakage, and how can you prevent it in your analytics projects?
What is the difference between batch normalization and layer normalization in deep learning?
How do you perform feature importance analysis for model interpretability?
What are the key differences between a decision tree and a random forest?
What is the role of Shannon entropy in feature selection?
What is the difference between segmentation and clustering in data analytics?
Explain the concept of bias-variance tradeoff in machine learning.
How do you handle high-cardinality categorical features in machine learning models?
How do you handle heteroscedasticity in regression models?
Can you explain the no free lunch theorem in machine learning and its implications on choosing algorithms for different types of problems?
What are the types of biases in data analysis and how can they be minimized?
What is the difference between classification and regression problems in analytics?
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