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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 gradient boosting and why is it more effective than traditional decision trees?
RELATED INTERVIEW QUESTIONS
What are the differences between deep learning and ensemble methods in predictive analytics?
What is feature importance, and how do you evaluate it for machine learning models?
What is the role of decision trees in building interpretable machine learning models?
What is the purpose of a ROC curve in model evaluation?
How does the use of distributed computing frameworks like Apache Spark improve data analytics?
How do you analyze text data using sentiment analysis techniques?
Explain the concept of a precision-recall curve and when to use it.
What is overfitting, and how can it be avoided using regularization techniques?
How do you interpret the results of a confusion matrix, and what does it tell you about the performance of a classification model?
How do you perform feature importance analysis for model interpretability?
What are LSTM networks, and how are they used in sequence prediction tasks?
Explain how principal component analysis (PCA) works for dimensionality reduction.
How do you use bootstrapping in model evaluation, and what are its advantages?
How would you deal with multicollinearity in a regression analysis?
How would you measure the impact of an analytics model in a business setting?
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