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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 challenges in analyzing big data, and how do you mitigate them?
RELATED INTERVIEW QUESTIONS
What are the main differences between batch processing and real-time processing in data analytics?
How do you perform root cause analysis using data analytics in business?
What is linear programming, and how does it relate to data optimization problems?
How do you evaluate the predictive accuracy of a machine learning model?
What are the common types of clustering algorithms, and how do you choose between them?
Explain the concept of data wrangling and its importance in data analytics.
How does the concept of cross-validation help prevent overfitting in machine learning models?
What are the differences between Ridge and Lasso regression?
What is the importance of data privacy in analytics, and how do you ensure compliance?
What is the role of cloud computing in enabling data analytics at scale?
How does data governance ensure the quality and security of your analytics outputs?
How do you optimize an ML model when the dataset is imbalanced?
What is the role of Bayesian methods in data analytics, and how do they compare to frequentist approaches?
What is the confusion matrix, and how does it help evaluate classification models?
What is AdaBoost, and how does it improve the performance of weak learners?
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