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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 would you implement real-time data analytics for fraud detection?
How would you optimize the performance of a recommendation system for personalized product suggestions?
How would you evaluate model performance in an imbalanced dataset problem?
How do you apply Shannon entropy in data analytics for feature selection?
What are gradient descent and its variants, and how are they used in machine learning?
Explain bootstrapping and how it helps with estimating uncertainty in your analysis.
How do you prevent model bias in machine learning algorithms?
How do you handle and process categorical data in machine learning algorithms?
What is the significance of A/B testing in optimizing data-driven decisions?
How do you perform sentiment analysis on social media data?
How do you select relevant features from a dataset to improve model accuracy?
How do you perform outlier detection using machine learning techniques?
How do you build a predictive model for sales forecasting in e-commerce?
What is the significance of the ROC-AUC score in evaluating classification models?
What is data leakage, and how can you prevent it in your analytics projects?
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