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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What are gradient descent and its variants, and how are they used in machine learning?
RELATED INTERVIEW QUESTIONS
What is ensemble learning, and why is it useful in machine learning?
What are LSTM networks, and how are they used in sequence prediction tasks?
How would you analyze customer churn using data analytics?
What is the importance of using dropout in deep learning models?
What is the concept of a confusion matrix, and how do you interpret its results in classification models?
What are deep learning and its key differences from traditional machine learning methods?
Explain the concept of data wrangling and its importance in data analytics.
What are the advantages and disadvantages of using deep learning for structured data analysis?
What is the ROC-AUC curve, and how do you interpret it?
What is the role of cloud computing in enabling data analytics at scale?
What are the challenges in analyzing big data, and how do you mitigate them?
Explain the concept of reinforcement learning and its applications in analytics.
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What is the difference between a data pipeline and an ETL pipeline in terms of analytics?
What are the most important performance metrics for classification models?
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