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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
How do you use decision trees for feature selection in machine learning?
RELATED INTERVIEW QUESTIONS
What is gradient boosting and why is it more effective than traditional decision trees?
Explain the concept of regularization in machine learning. How does L1 and L2 regularization differ, and when would you use each?
Explain the concept of reinforcement learning and its applications in analytics.
How does data governance ensure the quality and security of your analytics outputs?
How do you use SQL joins in data analytics to integrate data from multiple sources?
How does regularization help to reduce overfitting in machine learning models?
How do you assess the impact of outliers in your data and model predictions?
What are the advantages of using XGBoost over other machine learning algorithms?
What are the advantages of support vector machines (SVM) in classification tasks?
What are the advantages of using convolutional neural networks (CNN) in image analytics?
How do you use clustering for market segmentation in customer analytics?
What is Gaussian Naive Bayes, and when would you use it in classification?
What is data anonymization, and why is it essential in data analytics?
What are the main differences between batch processing and real-time processing in data analytics?
How do you handle imbalanced datasets in classification problems, and what techniques do you use to improve the model’s performance?
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