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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 differences between bagging and boosting in ensemble methods?
RELATED INTERVIEW QUESTIONS
Explain the difference between random forests and gradient boosting methods.
What is the significance of hyperparameter tuning in optimizing machine learning models?
What are the steps involved in building a recommendation system for e-commerce?
What is dimensionality reduction, and why is it important in data analytics?
How do you handle outliers in time-series data?
What is the ROC-AUC curve, and how do you interpret it?
How do you apply data smoothing techniques for time-series forecasting?
Explain how backpropagation works in training neural networks.
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 a large dataset that does not fit into memory?
What are support vector machines (SVM) and how do they classify data?
Explain the Naive Bayes algorithm and its application in data analytics.
What are the advantages of using XGBoost over other machine learning algorithms?
How would you perform outlier detection using Isolation Forest?
How do you perform outlier detection in data analytics?
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