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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
What is data leakage, and how can you prevent it in your analytics projects?
RELATED INTERVIEW QUESTIONS
Explain how overfitting and underfitting affect the performance of a machine learning model.
What are the ethical considerations when analyzing customer data in analytics?
What is the purpose of learning curves in machine learning, and how can they be used to detect underfitting or overfitting in a model?
How do you perform dimensionality reduction, and why is it essential in machine learning?
What is the importance of model interpretability in real-world data analytics applications?
What is Boosting in machine learning, and how does it work?
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
What are the advantages of support vector machines (SVM) in classification tasks?
What is Bagging in machine learning, and how does it reduce overfitting?
What is the importance of data cleaning in data analytics, and what techniques would you use?
Explain the concept of a precision-recall curve and when to use it.
What is the difference between segmentation and clustering 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 the difference between data mining and data analytics.
Explain how latent variable models work in data analytics.
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