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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How do you perform root cause analysis using data analytics in business?
RELATED INTERVIEW QUESTIONS
What is the purpose of a ROC curve in model evaluation?
Explain the concept of feature importance in models like Random Forest or Gradient Boosting. How do you assess and interpret feature impor
What are some of the most common causes of overfitting in machine learning models, and how do you mitigate them?
What are some effective techniques for handling missing values in large datasets?
Explain bootstrapping and how it helps with estimating uncertainty in your analysis.
What is ensemble learning, and why is it useful in machine learning?
What is the accuracy paradox and how does it affect model evaluation?
What are the common pitfalls in implementing predictive analytics models, and how can they be avoided?
How do you perform unsupervised learning for customer segmentation?
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How would you implement real-time data analytics for fraud detection?
How would you perform outlier detection using Isolation Forest?
How do you interpret the results of cluster analysis in market research?
How do you evaluate model robustness to different types of input data?
How do you assess the trade-off between bias and variance in a machine learning model, and what strategies can you use to balance them?
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