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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is time-series analysis, and what techniques do you use for it?
RELATED INTERVIEW QUESTIONS
What is data lineage, and how does it help in tracking data flow?
Explain the concept of reinforcement learning and its applications in analytics.
What is the significance of hypothesis testing in data analysis?
What are the major differences between SQL and NoSQL databases in data analytics?
What is the difference between a data pipeline and an ETL pipeline in terms of analytics?
What is the importance of hyperparameter tuning in machine learning models?
How does k-fold cross-validation work, and how do you decide on the value of k for a given dataset?
What are the differences between bagging and boosting in ensemble methods?
What is the importance of model interpretability in real-world data analytics applications?
How do you balance the trade-off between bias and variance in machine learning?
How do you perform feature importance analysis for model interpretability?
Explain how hyperparameter optimization improves machine learning model performance.
What are the main differences between batch processing and real-time processing in data analytics?
What is the role of visualization in data analysis, and which Python libraries would you use?
How would you apply cross-validation to avoid overfitting in a machine learning model?
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