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HTML
CSS
Python
PHP
MySQL
Linux
Javascript
Shobha
The best way to predict the future is to invent it
Explain bootstrapping and how it helps with estimating uncertainty in your analysis.
RELATED INTERVIEW QUESTIONS
Explain the difference between random forests and gradient boosting methods.
What are the advantages and disadvantages of using deep learning for structured data analysis?
Explain bootstrapping and how it helps with estimating uncertainty in your analysis.
How do you use data augmentation to improve a deep learning model’s performance?
What is gradient descent, and how does it work in the training of machine learning models? How do you decide the learning rate?
How do you ensure that your analysis is unbiased when working with large datasets?
Explain the concept of reinforcement learning and its applications in analytics.
What is ensemble learning, and why is it useful in machine learning?
How do you handle high-velocity data in real-time analytics applications?
How do you handle unstructured data in analytics models?
Explain the Naive Bayes algorithm and its application in data analytics.
How does ensemble learning work, and when should it be applied?
What is XGBoost, and how does it differ from other boosting algorithms?
What is tuning in machine learning, and how do you apply it to hyperparameters?
What is the K-means clustering algorithm, and how do you determine the optimal number of clusters?
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