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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Cloud
Shobha
The best way to predict the future is to invent it
How would you analyze customer churn using data analytics?
RELATED INTERVIEW QUESTIONS
What is time-series forecasting, and how do you approach it using machine learning algorithms?
How do you ensure that your machine learning model generalizes well on unseen data?
What are the advantages and limitations of using SQL vs NoSQL for large-scale analytics?
How do you build a predictive model for sales forecasting in e-commerce?
How does feature scaling improve the performance of gradient-based learning algorithms?
What are the major differences between SQL and NoSQL databases in data analytics?
Explain the concept of feature importance in models like Random Forest or Gradient Boosting. How do you assess and interpret feature impor
Explain bootstrapping and how it helps with estimating uncertainty in your analysis.
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
How would you deal with multicollinearity in a regression analysis?
How does the use of distributed computing frameworks like Apache Spark improve data analytics?
What is dimensionality reduction, and why is it important in data analytics?
How do you perform A/B testing for evaluating the performance of a new marketing campaign?
What is the role of natural language processing in analyzing customer feedback?
What is the role of Shannon entropy in feature selection?
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