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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is the importance of using dropout in deep learning models?
RELATED INTERVIEW QUESTIONS
What are the challenges of data visualization, and how do you overcome them?
Explain the concept of gradient boosting and its advantages over traditional decision trees.
How do you measure the generalization error of a machine learning model?
What is dimensionality reduction, and how does PCA (Principal Component Analysis) help?
How do you deal with class imbalance in classification models?
What is the importance of hyperparameter tuning in machine learning models?
What is deep learning and how is it used for image recognition?
What is the role of visualization in data analysis, and which Python libraries would you use?
How do you apply Shannon entropy in data analytics for feature selection?
What is Gaussian Naive Bayes, and when would you use it in classification?
What are the challenges in analyzing big data, and how do you mitigate them?
Explain the difference between bagging and boosting techniques.
How does the use of distributed computing frameworks like Apache Spark improve data analytics?
How do you address skewed data distributions in machine learning models?
Can you explain the no free lunch theorem in machine learning and its implications on choosing algorithms for different types of problems?
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