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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is the importance of data privacy in analytics, and how do you ensure compliance?
RELATED INTERVIEW QUESTIONS
What is gradient descent, and how does it work in the training of machine learning models? How do you decide the learning rate?
What are gradient descent and its variants, and how are they used in machine learning?
How do you use time-series decomposition to analyze seasonal trends?
What is regression analysis, and how do you apply it in business analytics?
How do you use SQL joins in data analytics to integrate data from multiple sources?
How do you ensure that your data pipeline is scalable for large datasets?
How do you perform feature importance analysis for model interpretability?
What is the importance of heteroscedasticity in regression models?
What are the advantages of using deep learning over traditional machine learning in analytics?
How do you perform feature scaling, and what are its benefits in machine learning?
What is time-series forecasting, and how do you handle seasonality in models?
How do you perform outlier detection using machine learning techniques?
What is tuning in machine learning, and how do you apply it to hyperparameters?
What are time-series cross-validation techniques, and how are they applied in forecasting?
Explain the concept of data wrangling and its importance in data analytics.
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