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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
How does ensemble learning work, and when should it be applied?
RELATED INTERVIEW QUESTIONS
How do you ensure that your analysis is unbiased when working with large datasets?
How does the k-means clustering algorithm work and when should it be used?
Explain the concept of gradient boosting and its advantages over traditional decision trees.
How does bootstrapping improve model accuracy in statistical analysis?
What is the difference between segmentation and clustering in data analytics?
How do you apply data augmentation in deep learning for image processing?
What is overfitting, and how can it be avoided using regularization techniques?
What is the concept of Feature Extraction in computer vision analytics?
What is hyperparameter tuning, and why is it essential for model optimization? How do you perform hyperparameter tuning effectively?
What are data imputation techniques, and how are they used for handling missing data?
What is latent variable modeling, and how is it used in dimensionality reduction techniques such as factor analysis or topic modeling?
What are the differences between bagging and boosting in ensemble methods?
What is the F1-score in classification tasks, and why is it important?
What is the curse of dimensionality and how does it affect machine learning models?
Explain the concept of a precision-recall curve and when to use it.
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