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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is stratified sampling, and when should it be used in machine learning?
RELATED INTERVIEW QUESTIONS
What are some effective techniques for handling missing values in large datasets?
What is Bagging in machine learning, and how does it reduce overfitting?
What are support vector machines (SVM) and how do they classify data?
How would you analyze customer churn using data analytics?
How would you perform data aggregation for summarizing large datasets?
What is tuning in machine learning, and how do you apply it to hyperparameters?
What is the difference between a Data Lake and a Data Warehouse, and when would you use each in analytics?
How do you perform outlier detection using machine learning techniques?
What is the Kurtosis of a distribution, and how do you interpret it?
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How would you handle seasonality in a time-series forecasting problem?
What are some of the most common causes of overfitting in machine learning models, and how do you mitigate them?
What is multi-objective optimization, and how does it differ from single-objective optimization?
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