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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
How would you assess the performance of a machine learning model over time?
RELATED INTERVIEW QUESTIONS
Explain the concept of feature importance in models like Random Forest or Gradient Boosting. How do you assess and interpret feature impor
How do you handle high-cardinality categorical features in machine learning models?
What is the difference between classification and regression problems in analytics?
What is the difference between batch processing and streaming in big data analytics?
What is stratified sampling, and when should it be used in machine learning?
How do you decide whether to use a parametric or non-parametric statistical method?
What is the difference between parametric and non-parametric tests in hypothesis testing?
What are the key differences between supervised and unsupervised learning in data analytics?
What is the role of feature scaling in improving machine learning model accuracy?
Explain the concept of hyperparameter tuning and its role in model optimization.
Explain the concept of data wrangling and its importance in data analytics.
How do you analyze multi-class classification problems with machine learning?
How does data governance ensure the quality and security of your analytics outputs?
How do you handle high-dimensional data and reduce the risk of overfitting?
What are the challenges of data visualization, and how do you overcome them?
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