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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What are some effective techniques for handling missing values in large datasets?
RELATED INTERVIEW QUESTIONS
What is the importance of model interpretability in real-world data analytics applications?
How do you deal with skewed data in regression models?
What is the difference between correlation and causality?
What are support vector machines (SVM) and how do they classify data?
How would you analyze customer churn using data analytics?
What are the limitations of using random forests for classification tasks?
Explain how latent variable models work in data analytics.
What is the concept of a confusion matrix, and how do you interpret its results in classification models?
What are the best practices for analyzing real-time data streams?
How do you detect data imbalances in a classification problem and address them?
How would you implement a recommendation system for e-commerce websites?
How do you evaluate model robustness to different types of input data?
What is the importance of data cleaning in data analytics, and what techniques would you use?
What is the difference between batch normalization and layer normalization in deep learning?
What is Gaussian Naive Bayes, and when would you use it in classification?
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