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HTML
CSS
Python
PHP
MySQL
Linux
Shobha
The best way to predict the future is to invent it
What is gradient descent, and how does it work in the training of machine learning models? How do you decide the learning rate?
RELATED INTERVIEW QUESTIONS
Explain bootstrapping and how it helps with estimating uncertainty in your analysis.
How do you detect data imbalances in a classification problem and address them?
What are the common pitfalls in implementing predictive analytics models, and how can they be avoided?
How do you balance the trade-off between bias and variance in machine learning?
How would you implement a recommendation system for e-commerce websites?
What are the main differences between batch processing and real-time processing in data analytics?
What is time-series forecasting, and how do you approach it using machine learning algorithms?
What is model drift, and how can it affect predictive analytics models?
What is the significance of data encryption in data privacy and analytics?
What are the limitations of using random forests for classification tasks?
Explain the difference between bagging and boosting techniques.
What is transfer learning, and how is it useful in deep learning?
Explain the concept of a precision-recall curve and when to use it.
How do you deal with class imbalance in classification models?
How do you optimize the performance of an algorithm when the dataset size is enormous?
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